Thesis-CST-Report/references.bib

% Encoding: UTF-8


@inproceedings{DBLP:conf/siggraph/Kajiya86,
	author    = {James T. Kajiya},
	title     = {The rendering equation},
	booktitle = {Proceedings of the 13th Annual Conference on Computer Graphics and
	Interactive Techniques, {SIGGRAPH} 1986, Dallas, Texas, USA, August
	18-22, 1986},
	pages     = {143--150},
	year      = {1986},
	crossref  = {DBLP:conf/siggraph/1986},
	url       = {http://doi.acm.org/10.1145/15922.15902},
	doi       = {10.1145/15922.15902},
	timestamp = {Wed, 14 Feb 2018 13:29:27 +0100},
	biburl    = {https://dblp.org/rec/bib/conf/siggraph/Kajiya86},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/siggraph/1986,
	editor    = {David C. Evans and
	Russell J. Athay},
	title     = {Proceedings of the 13th Annual Conference on Computer Graphics and
	Interactive Techniques, {SIGGRAPH} 1986, Dallas, Texas, USA, August
	18-22, 1986},
	publisher = {{ACM}},
	year      = {1986},
	url       = {http://doi.acm.org/10.1145/15922},
	doi       = {10.1145/15922},
	isbn      = {0-89791-196-2},
	timestamp = {Wed, 14 Feb 2018 13:29:27 +0100},
	biburl    = {https://dblp.org/rec/bib/conf/siggraph/1986},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tog/ShirleyWZ96,
  author    = {Peter Shirley and
               Changyaw Wang and
               Kurt Zimmerman},
  title     = {Monte Carlo Techniques for Direct Lighting Calculations},
  journal   = {{ACM} Trans. Graph.},
  volume    = {15},
  number    = {1},
  pages     = {1--36},
  year      = {1996},
  url       = {http://doi.acm.org/10.1145/226150.226151},
  doi       = {10.1145/226150.226151},
  timestamp = {Tue, 25 Nov 2003 07:57:29 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tog/ShirleyWZ96},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@book{veach1997robust,
  title={Robust monte carlo methods for light transport simulation},
  author={Veach, Eric},
  number={1610},
  year={1997},
  publisher={Stanford University PhD thesis}
}

@incollection{veach1995bidirectional,
  title={Bidirectional estimators for light transport},
  author={Veach, Eric and Guibas, Leonidas},
  booktitle={Photorealistic Rendering Techniques},
  pages={145--167},
  year={1995},
  publisher={Springer}
}

@inproceedings{veach1997metropolis,
  title={Metropolis light transport},
  author={Veach, Eric and Guibas, Leonidas J},
  booktitle={Proceedings of the 24th annual conference on Computer graphics and interactive techniques},
  pages={65--76},
  year={1997},
  organization={ACM Press/Addison-Wesley Publishing Co.}
}

@TECHREPORT{Lafortune96mathematicalmodels,
    author = {Eric Lafortune},
    title = {Mathematical Models and Monte Carlo Algorithms for Physically Based Rendering},
    institution = {},
    year = {1996}
}

@inproceedings{DBLP:conf/rt/LafortuneW96,
  author    = {Eric P. Lafortune and
               Yves D. Willems},
  title     = {Rendering Participating Media with Bidirectional Path Tracing},
  booktitle = {Rendering Techniques '96, Proceedings of the Eurographics Workshop
               in Porto, Portugal, August 27-31, 1996},
  pages     = {91--100},
  year      = {1996},
  crossref  = {DBLP:conf/rt/1996},
  url       = {https://doi.org/10.1007/978-3-7091-7484-5\_10},
  doi       = {10.1007/978-3-7091-7484-5\_10},
  timestamp = {Thu, 25 May 2017 00:43:28 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/rt/LafortuneW96},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/rt/1996,
  editor    = {Xavier Pueyo and
               Peter Schr{\"{o}}der},
  title     = {Rendering Techniques '96, Proceedings of the Eurographics Workshop
               in Porto, Portugal, August 27-31, 1996},
  series    = {Eurographics},
  publisher = {Springer},
  year      = {1996},
  url       = {https://doi.org/10.1007/978-3-7091-7484-5},
  doi       = {10.1007/978-3-7091-7484-5},
  isbn      = {3-211-82883-4},
  timestamp = {Thu, 25 May 2017 00:43:28 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/rt/1996},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
%%% Database

@article{sheikh2005live,
  title={LIVE image quality assessment database release 2},
  author={Sheikh, HR},
  journal={http://live. ece. utexas. edu/research/quality},
  year={2005}
}

@article{le2005subjective,
  title={Subjective quality assessment irccyn/ivc database, 2005},
  author={Le Callet, Patrick and Autrusseau, Florent},
  journal={Available:, accessed October},
  volume={25},
  pages={2015},
  year={2005}
}

@inproceedings{ponomarenko2013color,
  title={Color image database TID2013: Peculiarities and preliminary results},
  author={Ponomarenko, Nikolay and Ieremeiev, Oleg and Lukin, Vladimir and Egiazarian, Karen and Jin, Lina and Astola, Jaakko and Vozel, Benoit and Chehdi, Kacem and Carli, Marco and Battisti, Federica and others},
  booktitle={Visual Information Processing (EUVIP), 2013 4th European Workshop on},
  pages={106--111},
  year={2013},
  organization={IEEE}
}

%%%%%%%%%%%%%%%%%
%% Metrics / Full-Reference
%%%%%%%%%%%%%%%%%

%%%% Description : Image quality assessment (psychology part)
@inproceedings{DBLP:conf/isvc/WajidMP14,
  author    = {Rameez Wajid and
               Atif Bin Mansoor and
               Marius Pedersen},
  title     = {A Human Perception Based Performance Evaluation of Image Quality Metrics},
  booktitle = {Advances in Visual Computing - 10th International Symposium, {ISVC}
               2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part {I}},
  pages     = {303--312},
  year      = {2014},
  crossref  = {DBLP:conf/isvc/2014-1},
  url       = {https://doi.org/10.1007/978-3-319-14249-4\_29},
  doi       = {10.1007/978-3-319-14249-4\_29},
  timestamp = {Fri, 19 May 2017 01:26:34 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/isvc/WajidMP14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%% Description : global comparisons
@inproceedings{DBLP:conf/cvcs/NouriCSF13,
  author    = {Anass Nouri and
               Christophe Charrier and
               Abdelhakim Saadane and
               Christine Fernandez{-}Maloigne},
  title     = {Statistical comparison of no-reference images quality assessment algorithms},
  booktitle = {Colour and Visual Computing Symposium, {CVCS} 2013, Gjovik, Norway,
               September 5-6, 2013},
  pages     = {1--5},
  year      = {2013},
  crossref  = {DBLP:conf/cvcs/2013},
  url       = {https://doi.org/10.1109/CVCS.2013.6626281},
  doi       = {10.1109/CVCS.2013.6626281},
  timestamp = {Sun, 21 May 2017 00:17:26 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/cvcs/NouriCSF13},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%% Description : Blind Referenceless Image Spatial Quality Evaluator
@inproceedings{DBLP:conf/acssc/MittalMB11,
  author    = {Anish Mittal and
               Anush K. Moorthy and
               Alan C. Bovik},
  title     = {Blind/Referenceless Image Spatial Quality Evaluator},
  booktitle = {Conference Record of the Forty Fifth Asilomar Conference on Signals,
               Systems and Computers, {ACSCC} 2011, Pacific Grove, CA, USA, November
               6-9, 2011},
  pages     = {723--727},
  year      = {2011},
  crossref  = {DBLP:conf/acssc/2011},
  url       = {https://doi.org/10.1109/ACSSC.2011.6190099},
  doi       = {10.1109/ACSSC.2011.6190099},
  timestamp = {Mon, 29 May 2017 13:41:30 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/acssc/MittalMB11},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%% Description : PIQUE metric

@InProceedings{DBLP:conf/ncc/NDBCM15,
  author    = {Venkatanath N. and Praneeth D. and Maruthi Chandrasekhar Bh. and Sumohana S. Channappayya and Swarup S. Medasani},
  title     = {Blind image quality evaluation using perception based features},
  booktitle = {Twenty First National Conference on Communications, {NCC} 2015, Mumbai, India, February 27 - March 1, 2015},
  year      = {2015},
  pages     = {1--6},
  abstract  = {Dans cette article, une nouvelle approche de calcul de la qualité de l'image est proposée. Celle-ci est une méthode sans référence appelée dans la littérature NR-IQA (No-Reference Image Quality Assessment).
Cette méthode ne nécessite pas de modèle pré-entrainé (CNN-NRIQA, BLISSS...).

La méthode est décomposée en 4 partie :
- Division par bloc des informations de l'image précalculées (NSS, MSCN).
- Estimation de critères (Noticeable Distortion Criterion, Noise Criterion).
- Pooling : calcul du score D_{sk} associé à un bloc basé sur l'activation ou non des critères estimés.
- Calcul d'un score PIQUE : basés sur l'ensemble des blocs, avec comme composantes D_{sk} et N_{sa} le nombre de bloc activé dans l'image. ( N_{sa} : The MSCN coefficients are utilized to label a given block either as a uniform (U) block or as a non-uniform/spatially active (SA) blocks : section II).

Conclusion :
L'approche est vachement intéressante. Maintenant, dans notre cas la finalité n'est peut être pas ce que l'on recherche. Il faut donc voir dans ce qui est proposé les éléments qui nous importe vraiment (\alpha_{blk} et \beta récoltés par bloc donne des informations intéressantes dans notre cas).},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/ncc/NDBCM15},
  crossref  = {DBLP:conf/ncc/2015},
  doi       = {10.1109/NCC.2015.7084843},
  keywords  = {sans référence; métriques; détection, 2D},
  timestamp = {Tue, 12 Sep 2017 13:58:40 +0200},
  url       = {https://doi.org/10.1109/NCC.2015.7084843},
}


%%%% Description : Real-time NR-IQA

@InProceedings{DBLP:conf/cvpr/YeKKD13,
  author    = {Peng Ye and Jayant Kumar and Le Kang and David S. Doermann},
  title     = {Real-Time No-Reference Image Quality Assessment Based on Filter Learning},
  booktitle = {2013 {IEEE} Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013},
  year      = {2013},
  pages     = {987--994},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/YeKKD13},
  crossref  = {2013},
  doi       = {10.1109/CVPR.2013.132},
  timestamp = {Thu, 25 May 2017 00:41:27 +0200},
  url       = {https://doi.org/10.1109/CVPR.2013.132},
}


%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% Denoising
%%%%%%%%%%%%%%%%%%%%%%%%%

@inproceedings{DBLP:conf/vrml/KuppiliEB18,
  author    = {Venkatanareshbabu Kuppili and
               Damodar Reddy Edla and
               Annushree Bablani},
  title     = {Novel fitness function for 3D image reconstruction using bat algorithm
               based autoencoder},
  booktitle = {Proceedings of the 23rd International {ACM} Conference on 3D Web Technology,
               Web3D 2018, Pozna{\'{n}}, Poland, June 20-22, 2018},
  pages     = {28:1--28:2},
  year      = {2018},
  crossref  = {DBLP:conf/vrml/2018},
  url       = {http://doi.acm.org/10.1145/3208806.3211218},
  doi       = {10.1145/3208806.3211218},
  timestamp = {Fri, 22 Jun 2018 11:17:51 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/vrml/KuppiliEB18},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% ML > Denoising
%%%%%%%%%%%%%%%%%%%%%%%%%%%

%% Description : Reconstruct noisy image using CNN deep learning model without taking care of clean data (just only the noisy images). The model will learn Gaussian distribution and also Monte Carlo process to imagine how the pixels will be for final image state and then proposes new image.

@InProceedings{DBLP:conf/icml/LehtinenMHLKAA18,
  author    = {Jaakko Lehtinen and Jacob Munkberg and Jon Hasselgren and Samuli Laine and Tero Karras and Miika Aittala and Timo Aila},
  title     = {Noise2Noise: Learning Image Restoration without Clean Data},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning, {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July 10-15, 2018},
  year      = {2018},
  pages     = {2971--2980},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/icml/LehtinenMHLKAA18},
  crossref  = {DBLP:conf/icml/2018},
  keywords  = {apprentissage automatique; débruitage; sans référence},
  timestamp = {Fri, 13 Jul 2018 14:58:25 +0200},
  url       = {http://proceedings.mlr.press/v80/lehtinen18a.html},
}

%% Description :
@inproceedings{DBLP:conf/ispacs/WangWPZ17,
  author    = {Guodong Wang and
               GuoTao Wang and
               Zhenkuan Pan and
               Zhimei Zhang},
  title     = {Multiplicative noise removal using deep {CNN} denoiser prior},
  booktitle = {2017 International Symposium on Intelligent Signal Processing and
               Communication Systems, {ISPACS} 2017, Xiamen, China, November 6-9,
               2017},
  pages     = {1--6},
  year      = {2017},
  crossref  = {DBLP:conf/ispacs/2017},
  url       = {https://doi.org/10.1109/ISPACS.2017.8265635},
  doi       = {10.1109/ISPACS.2017.8265635},
  timestamp = {Fri, 29 Jun 2018 15:27:57 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/ispacs/WangWPZ17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%%%%%%%%%%%%%%%
%% Metrics / No-Reference / 3D
%%%%%%%%%%%%%%%%%

@InProceedings{DBLP:conf/icassp/TianZMD17,
  author    = {Shishun Tian and Lu Zhang and Luce Morin and Olivier D{\'{e}}forges},
  title     = {{NIQSV:} {A} no reference image quality assessment metric for 3D synthesized views},
  booktitle = {2017 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2017, New Orleans, LA, USA, March 5-9, 2017},
  year      = {2017},
  pages     = {1248--1252},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/icassp/TianZMD17},
  crossref  = {DBLP:conf/icassp/2017},
  doi       = {10.1109/ICASSP.2017.7952356},
  timestamp = {Wed, 01 Aug 2018 19:08:05 +0200},
  url       = {https://doi.org/10.1109/ICASSP.2017.7952356},
}

@InProceedings{DBLP:conf/cvpr/XueZM13,
  author    = {Wufeng Xue and Lei Zhang and Xuanqin Mou},
  title     = {Learning without Human Scores for Blind Image Quality Assessment},
  booktitle = {2013 {IEEE} Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013},
  year      = {2013},
  pages     = {995--1002},
  abstract  = {Le modèle proposé par cet article a pour nouveauté de s'appuyer sur un nouveau principe dit "Blind" : ne pas faire attention aux scores donnés par les humains sur les bases de données suivantes {TID2008, Live, CSIQ}

Décomposition de la méthode :
- La méthode a besoin de calculer un score de comparaison entre l'image (bruitée, déformée..) par rapport à l'image finale (de référence) en utilisant la méthode FSIM.
- A partir de ce score c_i normalisé, L groupes sont mis en place (d_i) (l'idée est de catégorisé les différentes sont de distortions).
- Ensuite,  un filtre est appliqué : "difference of Gaussian" suivant plusieurs paramètres {0.2, 0.5, 0.8}, ce qui retource un vecteur appelé f_i. Et des clusters sont définis suivant f_i pour chaque groupe soit L * K clusters et centres de cluster (en utilisant l'algorithme des K-means).
- Une nouvelle image d'entrée, est ensuite divisée par patch, un filtre est appliqué : "difference of Gaussian" suivant plusieurs paramètres {0.2, 0.5, 0.8}, ce qui retource un vecteur appelé f^y_i. Chacun des patchs est assigné à L clusters pour chaque d_i.
- La mesure de la qualité du patch est calculé par la moyenne pondérée de la distance des points de chaque cluster par rapport au centre du cluster (centroid).
- Enfin, le score de la qualité de l'image est fournie via un processus d'Average Pooling.

Le taux de corrélation de ces scores est ensuite comparé aux scores données par les bases de références {TID2008, Live, CSIQ}.

Avantage : pas besoin d'exploiter les scores fournis par les bases.
Problème : Full-Référence ?},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/XueZM13},
  crossref  = {2013},
  doi       = {10.1109/CVPR.2013.133},
  keywords  = {apprentissage automatique; sans référence; détection; perception},
  timestamp = {Fri, 02 Jun 2017 20:48:03 +0200},
  url       = {https://doi.org/10.1109/CVPR.2013.133},
}

@InProceedings{DBLP:conf/cvpr/KangYLD14,
  author    = {Le Kang and Peng Ye and Yi Li and David S. Doermann},
  title     = {Convolutional Neural Networks for No-Reference Image Quality Assessment},
  booktitle = {2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014},
  year      = {2014},
  pages     = {1733--1740},
  abstract  = {Le modèle proposé est un réseaux de neurones avec couches convolutionnels

Les données sont séparées en patchs avant d'être passées au réseau. Le score à approximer en sortie est celui issu du score associé par l'humain pour l'image global.
La structure du réseau est la suivante :
- Couche de convolution => 50 couches de sorties
- Max and min pooling
- Couche dense 100
- Couche dense 100

Le résultat final de l'image est le score moyen des sorties.

Les résultats sont encourageants, surtout que l'on peut distinguer les zones plus bruités. Ici, ce qui a été reporté c'est effectivement que le bruit était beaucoup plus ciblé que les distortions.
},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/KangYLD14},
  crossref  = {DBLP:conf/cvpr/2014},
  doi       = {10.1109/CVPR.2014.224},
  keywords  = {apprentissage automatique; sans référence; },
  timestamp = {Thu, 25 May 2017 00:41:19 +0200},
  url       = {https://doi.org/10.1109/CVPR.2014.224},
}

%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% Vocabulary
%%%%%%%%%%%%%%%%%%%%%%%%%

% NR-IQA


%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% Bayesian
%%%%%%%%%%%%%%%%%%%%%%%%%

@PhdThesis{boubchir:tel-00161573,
  author      = {Boubchir, Larbi},
  title       = {{Approches bay{\'e}siennes pour le d{\'e}bruitage des images dans le domaine des transform{\'e}es multi-{\'e}chelles parcimonieuses orient{\'e}es et non orient{\'e}es}},
  school      = {{Universit{\'e} de Caen}},
  year        = {2007},
  type        = {Theses},
  month       = Jul,
  file        = {THESE_Larbi_Boubchir.pdf:https\://tel.archives-ouvertes.fr/tel-00161573/file/THESE_Larbi_Boubchir.pdf:PDF},
  hal_id      = {tel-00161573},
  hal_version = {v1},
  keywords    = {parcimonie ; d{\'e}bruitage ; analyse harmonique appliqu{\'e}e ; estimation bay{\'e}sienne ; mosd{\'e}lisation statistique ; transform{\'e}es multi-{\'e}chelle ; ondelettes ; curvelets ; parcimonie.},
  url         = {https://tel.archives-ouvertes.fr/tel-00161573},
}

%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Metrics
%%%%%%%%%%%%%%%%%%%%%%%%%

@article{DBLP:journals/ijon/ConstantinBCH15,
  author    = {Joseph Constantin and
               Andr{\'{e}} Bigand and
               Ibtissam Constantin and
               Denis Hamad},
  title     = {Image noise detection in global illumination methods based on {FRVM}},
  journal   = {Neurocomputing},
  volume    = {164},
  pages     = {82--95},
  year      = {2015},
  url       = {https://doi.org/10.1016/j.neucom.2014.10.090},
  doi       = {10.1016/j.neucom.2014.10.090},
  timestamp = {Sat, 20 May 2017 00:24:59 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/ijon/ConstantinBCH15},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/isvc/2014-1,
  editor    = {George Bebis and
               Richard Boyle and
               Bahram Parvin and
               Darko Koracin and
               Ryan McMahan and
               Jason Jerald and
               Hui Zhang and
               Steven M. Drucker and
               Chandra Kambhamettu and
               Maha El Choubassi and
               Zhigang Deng and
               Mark Carlson},
  title     = {Advances in Visual Computing - 10th International Symposium, {ISVC}
               2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part {I}},
  series    = {Lecture Notes in Computer Science},
  volume    = {8887},
  publisher = {Springer},
  year      = {2014},
  url       = {https://doi.org/10.1007/978-3-319-14249-4},
  doi       = {10.1007/978-3-319-14249-4},
  isbn      = {978-3-319-14248-7},
  timestamp = {Fri, 19 May 2017 01:26:33 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/isvc/2014-1},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%% Description : Structural similarity !
@article{DBLP:journals/tip/WangBSS04,
  author    = {Zhou Wang and
               Alan C. Bovik and
               Hamid R. Sheikh and
               Eero P. Simoncelli},
  title     = {Image quality assessment: from error visibility to structural similarity},
  journal   = {{IEEE} Trans. Image Processing},
  volume    = {13},
  number    = {4},
  pages     = {600--612},
  year      = {2004},
  url       = {https://doi.org/10.1109/TIP.2003.819861},
  doi       = {10.1109/TIP.2003.819861},
  timestamp = {Thu, 08 Jun 2017 09:01:54 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/tip/WangBSS04},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%% Description : Universal Quality Image
@article{995823,
    author={Zhou Wang and A. C. Bovik},
    journal={IEEE Signal Processing Letters},
    title={A universal image quality index},
    year={2002},
    volume={9},
    number={3},
    pages={81-84},
    keywords={image processing;universal image quality index;image processing applications;image distortion;loss of correlation;luminance distortion;contrast distortion;MATLAB implementation;Image quality;Distortion measurement;PSNR;Image processing;Humans;Visual system;Testing;Mathematical model;Signal to noise ratio;Dynamic range},
    doi={10.1109/97.995823},
    ISSN={1070-9908},
    month={March}
}

%%%%%%%%%%%%%%%%%
%% Metrics / No-Reference
%%%%%%%%%%%%%%%%%

%%%% Description : global comparisons of no-reference metric
@proceedings{doi:10.1117/12.2076145,
    author = { Christophe  Charrier,AbdelHakim  Saadane,Christine  Fernandez-Maloigne},
    title = {Comparison of no-reference image quality assessment machine learning-based algorithms on compressed images},
    journal = {Proc.SPIE},
    volume = {9396},
    number = {},
    pages = {9396 - 9396 - 9},
    year = {2015},
    doi = {10.1117/12.2076145},
    URL = {https://doi.org/10.1117/12.2076145},
    eprint = {}
}
@proceedings{DBLP:conf/cvcs/2013,
  title     = {Colour and Visual Computing Symposium, {CVCS} 2013, Gjovik, Norway,
               September 5-6, 2013},
  publisher = {{IEEE}},
  year      = {2013},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6612770},
  timestamp = {Tue, 30 Aug 2016 14:17:08 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/cvcs/2013},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%% Description : No Reference image quality
@article{DBLP:journals/cgf/HerzogCAKMS12,
  author    = {Robert Herzog and
               Martin Cad{\'{\i}}k and
               Tun{\c{c}} Ozan Aydin and
               Kwang In Kim and
               Karol Myszkowski and
               Hans{-}Peter Seidel},
  title     = {NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis},
  journal   = {Comput. Graph. Forum},
  volume    = {31},
  number    = {2},
  pages     = {545--554},
  year      = {2012},
  url       = {https://doi.org/10.1111/j.1467-8659.2012.03055.x},
  doi       = {10.1111/j.1467-8659.2012.03055.x},
  timestamp = {Mon, 05 Jun 2017 20:49:29 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/cgf/HerzogCAKMS12},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/acssc/2011,
  editor    = {Michael B. Matthews},
  title     = {Conference Record of the Forty Fifth Asilomar Conference on Signals,
               Systems and Computers, {ACSCC} 2011, Pacific Grove, CA, USA, November
               6-9, 2011},
  publisher = {{IEEE}},
  year      = {2011},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6185739},
  isbn      = {978-1-4673-0321-7},
  timestamp = {Tue, 28 Apr 2015 17:32:17 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/acssc/2011},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/ncc/2015,
  title     = {Twenty First National Conference on Communications, {NCC} 2015, Mumbai,
               India, February 27 - March 1, 2015},
  publisher = {{IEEE}},
  year      = {2015},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7076745},
  isbn      = {978-1-4799-6619-6},
  timestamp = {Tue, 12 Sep 2017 13:42:26 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/ncc/2015},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@Proceedings{2013,
  title     = {2013 {IEEE} Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013},
  year      = {2013},
  publisher = {{IEEE} Computer Society},
  isbn      = {978-0-7695-4989-7},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/2013},
  timestamp = {Thu, 28 Apr 2016 10:52:27 +0200},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6596161},
}

@Article{DBLP:journals/tip/MittalMB12,
  author    = {Anish Mittal and Anush Krishna Moorthy and Alan Conrad Bovik},
  title     = {No-Reference Image Quality Assessment in the Spatial Domain},
  journal   = {{IEEE} Trans. Image Processing},
  year      = {2012},
  volume    = {21},
  number    = {12},
  pages     = {4695--4708},
  abstract  = {Présentation de la métrique BRISQUE :

L'article propose une nouvelle métrique sans référence exploitant le NSS et MSCN. Elle ne vise pas à étudier les distortions directement de l'image.
La métrique proposée exploite 36 features calculées en se basant sur la proximité des pixels (H, V, D1, D2) et également une description (mean, shape, left variance, right variance).
Ces 36 features sont calculées en se basant sur un modèle Gaussien : "asymmetric generalized Gaussian distribution".

Enfin, c'est un SVR avec un kernel radial qui fournit le score estimé de la qualité de l'image en apprenant via les scores benchmark (fournit pas des humains). Enfin un taux de corrélation est donné, valeur de comparaison finale entre les modèles utilisant ce processus.


},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/tip/MittalMB12},
  doi       = {10.1109/TIP.2012.2214050},
  keywords  = {Sans référence; métriques; },
  timestamp = {Thu, 08 Jun 2017 09:02:01 +0200},
  url       = {https://doi.org/10.1109/TIP.2012.2214050},
}

@InProceedings{bosc:hal-00795062,
  author      = {Bosc, Emilie and Battisti, Federica and Carli, Marco and Le Callet, Patrick},
  title       = {{A wavelet-based image quality metric for the assessment of 3D synthesized views}},
  booktitle   = {{Stereoscopic Displays and Applications XXIV}},
  year        = {2013},
  volume      = {8648},
  pages       = {8648-75},
  address     = {United States},
  month       = Feb,
  file        = {EI2013Tot.pdf:https\://hal.archives-ouvertes.fr/hal-00795062/file/EI2013Tot.pdf:PDF},
  hal_id      = {hal-00795062},
  hal_version = {v1},
  keywords    = {Image Quality Metric ; 3D Video Quality ; Depth Image Based Rendering},
  url         = {https://hal.archives-ouvertes.fr/hal-00795062},
}
%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% ML
%%%%%%%%%%%%%%%%%%%%%%%%%%%

@article{JMLR:v15:srivastava14a,
  author  = {Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov},
  title   = {Dropout: A Simple Way to Prevent Neural Networks from Overfitting},
  journal = {Journal of Machine Learning Research},
  year    = {2014},
  volume  = {15},
  pages   = {1929-1958},
  url     = {http://jmlr.org/papers/v15/srivastava14a.html}
}
@proceedings{DBLP:conf/icml/2018,
  editor    = {Jennifer G. Dy and
               Andreas Krause},
  title     = {Proceedings of the 35th International Conference on Machine Learning,
               {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
               10-15, 2018},
  series    = {{JMLR} Workshop and Conference Proceedings},
  volume    = {80},
  publisher = {JMLR.org},
  year      = {2018},
  url       = {http://proceedings.mlr.press/v80/},
  timestamp = {Fri, 13 Jul 2018 14:57:00 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/icml/2018},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% ML > Detection
%%%%%%%%%%%%%%%%%%%%%%%%%

%% Description :
@article{DBLP:journals/ieicet/CalletVPC06,
  author    = {Patrick Le Callet and
               Christian Viard{-}Gaudin and
               St{\'{e}}phane P{\'{e}}chard and
               {\'{E}}milie Caillault},
  title     = {No Reference and Reduced Reference Video Quality Metrics for End to
               End QoS Monitoring},
  journal   = {{IEICE} Transactions},
  volume    = {89-B},
  number    = {2},
  pages     = {289--296},
  year      = {2006},
  url       = {https://doi.org/10.1093/ietcom/e89-b.2.289},
  doi       = {10.1093/ietcom/e89-b.2.289},
  timestamp = {Sun, 28 May 2017 13:21:04 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/ieicet/CalletVPC06},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%% Description :
%% No bibTex : Adaptive Noise Detection Using Texture Feature Extraction and Random Forest Classification

%% Description :

@Article{Roy2018,
  author  = {S. S. Roy and Mahtab Ahmed and M. A. H. Akhand},
  title   = {Noisy image classification using hybrid deep learning methods},
  journal = {Journal of Information and Communication Technology},
  year    = {2018},
  volume  = {17},
  pages   = {233--269},
  month   = {04},
}
@proceedings{DBLP:conf/ispacs/2017,
  title     = {2017 International Symposium on Intelligent Signal Processing and
               Communication Systems, {ISPACS} 2017, Xiamen, China, November 6-9,
               2017},
  publisher = {{IEEE}},
  year      = {2017},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8259049},
  isbn      = {978-1-5386-2159-2},
  timestamp = {Mon, 29 Jan 2018 07:51:11 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/ispacs/2017},
  bibsource = {dblp computer science bibliography, https://dblp.org}

}

%%%%%%%%%%%%%%%%%%%%%
%% Others
%%%%%%%%%%%%%%%%%%%%

@article{DBLP:journals/tip/SchulteWK07,
  author    = {Stefan Schulte and
               Val{\'{e}}rie De Witte and
               Etienne E. Kerre},
  title     = {A Fuzzy Noise Reduction Method for Color Images},
  journal   = {{IEEE} Trans. Image Processing},
  volume    = {16},
  number    = {5},
  pages     = {1425--1436},
  year      = {2007},
  url       = {https://doi.org/10.1109/TIP.2007.891807},
  doi       = {10.1109/TIP.2007.891807},
  timestamp = {Fri, 26 May 2017 22:51:54 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/tip/SchulteWK07},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/ijcta/ZhaoWY03,
  author    = {Jianye Zhao and
               Haiming Wang and
               Daoheng Yu},
  title     = {A new approach for edge detection of noisy image based on {CNN}},
  journal   = {I. J. Circuit Theory and Applications},
  volume    = {31},
  number    = {2},
  pages     = {119--131},
  year      = {2003},
  url       = {https://doi.org/10.1002/cta.210},
  doi       = {10.1002/cta.210},
  timestamp = {Mon, 19 Mar 2018 11:52:46 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/ijcta/ZhaoWY03},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{8358975,
    author={J. Zheng and L. Peng},
    journal={IEEE Sensors Journal},
    title={An Autoencoder-Based Image Reconstruction for Electrical Capacitance Tomography},
    year={2018},
    volume={18},
    number={13},
    pages={5464-5474},
    keywords={electric impedance imaging;encoding;image reconstruction;learning (artificial intelligence);medical image processing;neural nets;tomography;electrical capacitance tomography image reconstruction;theory framework;image reconstruction results;deep learning;different series;artificial neural networks;mapping complicated nonlinear functions;supervised autoencoder neural network;image reconstruction problem;encoder network;decoder network;capacitance vector;corresponding permittivity distribution vector;training data;experimental data;practical ECT system;image reconstruction algorithm;autoencoder-based image reconstruction algorithm;Image reconstruction;Capacitance;Permittivity;Decoding;Neurons;Training;Machine learning;Electrical capacitance tomography;image reconstruction;machine learning;deep learning;autoencoder},
    doi={10.1109/JSEN.2018.2836337},
    ISSN={1530-437X},
    month={July},
}

@InProceedings{myszkowski98,
  author    = {K. Myszkowski},
  title     = {Visible Differences Predictor: Applications to Global Illumination Problems},
  booktitle = {in Eurographics Rendering Workshop},
  year      = {2002},
  pages     = {290-305},
  publisher = {Springer},
}

@Article{Benoit08,
  author    = {A.Benoit and P.Le CP.Le Callet.Campisi and R.Cousseau},
  title     = {{Quality assessment of stereoscopic images}},
  journal   = {Journal on Image and Video Processing},
  year      = {2008},
  keywords  = {stéréoscopique, avec référence},
  timestamp = {2016.10.24},
}

@Article{Bosc16,
  author    = {F.Battisti and E.Bosc and M.Carli and P.Le Callet and S.Perugia},
  title     = {{Objective image quality assessment of $3$D synthesized views}},
  journal   = {Signal Processing: Image communication},
  year      = {2015 (30), pp.78-88},
  abstract  = {Depth-Image-Based-Rendering : Les images de synthèses ne connaîssent pas pour le moment de critère de qualité (métrique)
La difficulté dans une image de synthèse, est de prendre en considération l'axe Z. Depth-Image-Based-Rendering est le terme anglais pour désigné une image générée en 3D (image de synthèse)

L'article suivant en propose un : il s'appuie sur une base de données faites main avec les de sujets apportant 5 notes sur les images.

La métrique proposée se base sur les scores DMOS issues de la base de données. Il s'agit donc de full-référence. Un découpage par bloc est alors défini afin de lui attribuer un score après plusieurs traitements.
Enfin, un score global est calculé suivant une pondération spécifiques des scores des blocs.

Les scores obtenus sont ensuite à un taux de corrélation PLCC},
  keywords  = {avec référence; stéréoscopique},
  owner     = {Andre},
  timestamp = {2016.10.24},
}

@Proceedings{DBLP:conf/icassp/2017,
  title     = {2017 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2017, New Orleans, LA, USA, March 5-9, 2017},
  year      = {2017},
  publisher = {{IEEE}},
  isbn      = {978-1-5090-4117-6},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/icassp/2017},
  timestamp = {Fri, 23 Jun 2017 09:03:54 +0200},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7943262},
}

@Article{DBLP:journals/access/QiaoLLHY18,
  author    = {Junfei Qiao and Maoshen Liu and Sanyi Li and Zengzeng He and Zhuang Yang},
  title     = {Highly Efficient Quality Assessment of 3D-Synthesized Views Based on Compression Technology},
  journal   = {{IEEE} Access},
  year      = {2018},
  volume    = {6},
  pages     = {42309--42318},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/access/QiaoLLHY18},
  doi       = {10.1109/ACCESS.2018.2859439},
  timestamp = {Thu, 13 Sep 2018 18:11:36 +0200},
  url       = {https://doi.org/10.1109/ACCESS.2018.2859439},
}

@Proceedings{DBLP:conf/cvpr/2013,
  title     = {2013 {IEEE} Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013},
  year      = {2013},
  publisher = {{IEEE} Computer Society},
  isbn      = {978-0-7695-4989-7},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/2013},
  timestamp = {Thu, 28 Apr 2016 10:52:27 +0200},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6596161},
}

@Proceedings{DBLP:conf/cvpr/2014,
  title     = {2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014},
  year      = {2014},
  publisher = {{IEEE} Computer Society},
  isbn      = {978-1-4799-5118-5},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/2014},
  timestamp = {Thu, 28 Apr 2016 10:52:27 +0200},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6909096},
}

@Article{ad66f99a9d214f25b1ceb2cb851df723,
  author   = {Nikolay Ponomarenko and Vladimir Lukin and Alexander Zelensky and Karen Egiazarian and Marco Carli and Federica Battisti},
  title    = {TID2008-a database for evaluation of full-reference visual quality assessment metrics},
  journal  = {Advances of Modern Radioelectronics},
  year     = {2009},
  volume   = {10},
  number   = {4},
  pages    = {30--45},
  abstract = {In this paper, a new image database, TID2008, for evaluation of full-reference visual quality assessment metrics is described. It contains 1700 test images (25 reference images, 17 types of distortions for each reference image, 4 differentlevels of each type of distortion). Mean Opinion Scores (MOS) for this database have been obtained as a result of more than 800 experiments. Duringthese tests, observers from three countries (Finland, Italy, and Ukraine) have carried out about 256000 individual human quality judgments. The obtainedMOS can be used for effective testing of different visual quality metrics as well as for the design of new metrics. Using the designed image database, wehave tested several known quality metrics. The designed test image database is freely available for downloading and utilization in scientificinvestigations.},
  keywords = {database;},
  language = {English},
}

@Article{,
  title    = {LIVE Image Quality Assessment Database},
  abstract = {<p>Quality Assessment research strongly depends upon subjective experiments to provide calibration data as well as a testing mechanism. After all, the goal of all QA research is to make quality predictions that are\&nbsp;in\&nbsp;agreement\&nbsp;with subjective opinion of human observers. In order to calibrate QA algorithms and test their performance, a data set of images and videos whose quality has been ranked by human subjects is required. The QA algorithm may be trained on part of this data set, and tested on the rest.</p><p>At Laboratory for Image and Video Engineering (LIVE) (in collaboration with The Department of Psychology at the University of Texas at Austin), an extensive experiment was conducted to obtain scores from human subjects for a number of images distorted with different distortion types. These images were acquired in support of a research project on generic shape matching and recognition.</p><p><strong>Related publications:</strong></p><ul><li>H.R. Sheikh, Z.Wang, L. Cormack and A.C. Bovik, "LIVE Image Quality Assessment Database Release 2",<a href="http://live.ece.utexas.edu/research/quality">http://live.ece.utexas.edu/research/quality</a>.</li><li>H.R. Sheikh, M.F. Sabir and A.C. Bovik, "A statistical evaluation of recent full reference image quality assessment algorithms",IEEE Transactions on Image Processing,\&nbsp;vol. 15, no. 11, pp. 3440-3451, Nov. 2006.</li><li>Z. Wang, A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, "Image quality assessment: from error visibility to structural similarity,"IEEE Transactions on Image Processing\&nbsp;, vol.13, no.4, pp. 600- 612, April 2004.</li></ul>},
  keywords = {database;},
  url      = {http://live.ece.utexas.edu/research/quality/subjective.htm},
}

@Article{,
  title    = {CSIQ},
  abstract = {<p>The CSIQ database consists of 30 original images, each is distorted using six different types of distortions at four to five different levels of distortion. CSIQ images are subjectively rated base on a linear displacement of the images across four calibrated LCD monitors placed side by side with equal viewing distance to the observer. The database contains 5000 subjective ratings from 35 different observers, and ratings are reported in the form of DMOS.</p><p><strong>Related publication:</strong></p><ul><li>E. C. Larson and D. M. Chandler, "Most apparent distortion: full-reference image quality assessment and the role of strategy," Journal of Electronic Imaging, 19 (1), March 2010.\&nbsp;<a href="http://vision.okstate.edu/pubs/MAD_JEI.pdf">.PDF</a></li></ul>},
  keywords = {database;},
  url      = {http://vision.okstate.edu/index.php},
}

@Article{DBLP:journals/tog/MantiukKRH11,
  author    = {Rafal Mantiuk and Kil Joong Kim and Allan G. Rempel and Wolfgang Heidrich},
  title     = {{HDR-VDP-2:} a calibrated visual metric for visibility and quality predictions in all luminance conditions},
  journal   = {{ACM} Trans. Graph.},
  year      = {2011},
  volume    = {30},
  number    = {4},
  pages     = {40:1--40:14},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/tog/MantiukKRH11},
  doi       = {10.1145/2010324.1964935},
  timestamp = {Wed, 04 Jan 2017 13:29:23 +0100},
  url       = {http://doi.acm.org/10.1145/2010324.1964935},
}

@InProceedings{hamel:hal-01068276,
  author      = {Hamel, Shahrbanoo and Guyader, Nathalie and Pellerin, Denis and Houzet, Dominique},
  title       = {{Color Information in a Model of Saliency}},
  booktitle   = {{22nd European Signal Processing Conference (EUSIPCO-2014)}},
  year        = {2014},
  pages       = {1-5},
  address     = {Lisbonne, Portugal},
  month       = Sep,
  hal_id      = {hal-01068276},
  hal_version = {v1},
  keywords    = {GPU ; saillance},
  pdf         = {https://hal.archives-ouvertes.fr/hal-01068276/file/hamel_eusipco2014.pdf},
  url         = {https://hal.archives-ouvertes.fr/hal-01068276},
}

@inproceedings{Bolin:1995:FBR:218380.218497,
 author = {Bolin, Mark R. and Meyer, Gary W.},
 title = {A Frequency Based Ray Tracer},
 booktitle = {Proceedings of the 22Nd Annual Conference on Computer Graphics and Interactive Techniques},
 series = {SIGGRAPH '95},
 year = {1995},
 isbn = {0-89791-701-4},
 pages = {409--418},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/218380.218497},
 doi = {10.1145/218380.218497},
 acmid = {218497},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {DCT, JPEG, Monte Carlo, adaptive sampling, color, ray tracing, reconstruction, visual perception},
}


%% SVM Classifier
@inproceedings{han2012parameter,
  title={Parameter selection in SVM with RBF kernel function},
  author={Han, Shunjie and Qubo, Cao and Meng, Han},
  booktitle={World Automation Congress (WAC), 2012},
  pages={1--4},
  year={2012},
  organization={IEEE}
}

@article{kalman1996singularly,
  title={A singularly valuable decomposition: the SVD of a matrix},
  author={Kalman, Dan},
  journal={The college mathematics journal},
  volume={27},
  number={1},
  pages={2--23},
  year={1996},
  publisher={Taylor \& Francis}
}


@article{DBLP:journals/ijon/ConstantinBCH15,
  author    = {Joseph Constantin and
               Andr{\'{e}} Bigand and
               Ibtissam Constantin and
               Denis Hamad},
  title     = {Image noise detection in global illumination methods based on {FRVM}},
  journal   = {Neurocomputing},
  volume    = {164},
  pages     = {82--95},
  year      = {2015},
  url       = {https://doi.org/10.1016/j.neucom.2014.10.090},
  doi       = {10.1016/j.neucom.2014.10.090},
  timestamp = {Sat, 20 May 2017 00:24:59 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/ijon/ConstantinBCH15},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

%%%% Description : Structural similarity !
@inproceedings{wang2003multiscale,
  title={Multiscale structural similarity for image quality assessment},
  author={Wang, Zhou and Simoncelli, Eero P and Bovik, Alan C},
  booktitle={The Thrity-Seventh Asilomar Conference on Signals, Systems \& Computers, 2003},
  volume={2},
  pages={1398--1402},
  year={2003},
  organization={Ieee}
}

%%%% Description : Universal Quality Image
@article{995823,
    author={Zhou Wang and A. C. Bovik},
    journal={IEEE Signal Processing Letters},
    title={A universal image quality index},
    year={2002},
    volume={9},
    number={3},
    pages={81-84},
    keywords={image processing;universal image quality index;image processing applications;image distortion;loss of correlation;luminance distortion;contrast distortion;MATLAB implementation;Image quality;Distortion measurement;PSNR;Image processing;Humans;Visual system;Testing;Mathematical model;Signal to noise ratio;Dynamic range},
    doi={10.1109/97.995823},
    ISSN={1070-9908},
    month={March}
}

@article{ruderman1994statistics,
  title={The statistics of natural images},
  author={Ruderman, Daniel L},
  journal={Network: computation in neural systems},
  volume={5},
  number={4},
  pages={517--548},
  year={1994},
  publisher={Taylor \& Francis}
}

@article{DBLP:journals/spl/MoorthyB10,
  author    = {Anush K. Moorthy and
               Alan C. Bovik},
  title     = {A Two-Step Framework for Constructing Blind Image Quality Indices},
  journal   = {{IEEE} Signal Process. Lett.},
  volume    = {17},
  number    = {5},
  pages     = {513--516},
  year      = {2010},
  url       = {https://doi.org/10.1109/LSP.2010.2043888},
  doi       = {10.1109/LSP.2010.2043888},
  timestamp = {Thu, 08 Jun 2017 09:02:22 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/spl/MoorthyB10},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tip/MoorthyB11,
  author    = {Anush K. Moorthy and
               Alan Conrad Bovik},
  title     = {Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual
               Quality},
  journal   = {{IEEE} Trans. Image Processing},
  volume    = {20},
  number    = {12},
  pages     = {3350--3364},
  year      = {2011},
  url       = {https://doi.org/10.1109/TIP.2011.2147325},
  doi       = {10.1109/TIP.2011.2147325},
  timestamp = {Thu, 08 Jun 2017 09:01:56 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/tip/MoorthyB11},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tip/DabovFKE07,
  author    = {Kostadin Dabov and
               Alessandro Foi and
               Vladimir Katkovnik and
               Karen O. Egiazarian},
  title     = {Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering},
  journal   = {{IEEE} Trans. Image Processing},
  volume    = {16},
  number    = {8},
  pages     = {2080--2095},
  year      = {2007},
  url       = {https://doi.org/10.1109/TIP.2007.901238},
  doi       = {10.1109/TIP.2007.901238},
  timestamp = {Wed, 14 Jun 2017 20:31:36 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/tip/DabovFKE07},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/corr/abs-1805-01934,
  author    = {Chen Chen and
               Qifeng Chen and
               Jia Xu and
               Vladlen Koltun},
  title     = {Learning to See in the Dark},
  journal   = {CoRR},
  volume    = {abs/1805.01934},
  year      = {2018},
  url       = {http://arxiv.org/abs/1805.01934},
  archivePrefix = {arXiv},
  eprint    = {1805.01934},
  timestamp = {Mon, 13 Aug 2018 16:46:31 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1805-01934},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/RemezLGB17,
  author    = {Tal Remez and
               Or Litany and
               Raja Giryes and
               Alexander M. Bronstein},
  title     = {Deep Convolutional Denoising of Low-Light Images},
  journal   = {CoRR},
  volume    = {abs/1701.01687},
  year      = {2017},
  url       = {http://arxiv.org/abs/1701.01687},
  archivePrefix = {arXiv},
  eprint    = {1701.01687},
  timestamp = {Mon, 13 Aug 2018 16:47:01 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/RemezLGB17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/icpr/2012,
  title     = {Proceedings of the 21st International Conference on Pattern Recognition,
               {ICPR} 2012, Tsukuba, Japan, November 11-15, 2012},
  publisher = {{IEEE} Computer Society},
  year      = {2012},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6425799},
  isbn      = {978-1-4673-2216-4},
  timestamp = {Thu, 02 Oct 2014 17:00:46 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/icpr/2012},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/pami/HuCWY18,
  author    = {Zhe Hu and
               Sunghyun Cho and
               Jue Wang and
               Ming{-}Hsuan Yang},
  title     = {Deblurring Low-Light Images with Light Streaks},
  journal   = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
  volume    = {40},
  number    = {10},
  pages     = {2329--2341},
  year      = {2018},
  url       = {https://doi.org/10.1109/TPAMI.2017.2768365},
  doi       = {10.1109/TPAMI.2017.2768365},
  timestamp = {Thu, 13 Sep 2018 18:11:56 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/pami/HuCWY18},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tog/ChaitanyaKSSLNA17,
  author    = {Chakravarty R. Alla Chaitanya and
               Anton S. Kaplanyan and
               Christoph Schied and
               Marco Salvi and
               Aaron E. Lefohn and
               Derek Nowrouzezahrai and
               Timo Aila},
  title     = {Interactive reconstruction of Monte Carlo image sequences using a
               recurrent denoising autoencoder},
  journal   = {{ACM} Trans. Graph.},
  volume    = {36},
  number    = {4},
  pages     = {98:1--98:12},
  year      = {2017},
  url       = {https://doi.org/10.1145/3072959.3073601},
  doi       = {10.1145/3072959.3073601},
  timestamp = {Tue, 06 Nov 2018 12:51:24 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tog/ChaitanyaKSSLNA17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/siggraph/1985,
  editor    = {Pat Cole and
               Robert Heilman and
               Brian A. Barsky},
  title     = {Proceedings of the 12th Annual Conference on Computer Graphics and
               Interactive Techniques, {SIGGRAPH} 1985, San Francisco, California,
               USA, July 22-26, 1985},
  publisher = {{ACM}},
  year      = {1985},
  url       = {https://doi.org/10.1145/325334},
  doi       = {10.1145/325334},
  isbn      = {0-89791-166-0},
  timestamp = {Tue, 06 Nov 2018 16:59:15 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/siggraph/1985},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tog/LiWC12,
  author    = {Tzu{-}Mao Li and
               Yu{-}Ting Wu and
               Yung{-}Yu Chuang},
  title     = {SURE-based optimization for adaptive sampling and reconstruction},
  journal   = {{ACM} Trans. Graph.},
  volume    = {31},
  number    = {6},
  pages     = {194:1--194:9},
  year      = {2012},
  url       = {https://doi.org/10.1145/2366145.2366213},
  doi       = {10.1145/2366145.2366213},
  timestamp = {Tue, 06 Nov 2018 12:51:25 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tog/LiWC12},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tog/RousselleKZ12,
  author    = {Fabrice Rousselle and
               Claude Knaus and
               Matthias Zwicker},
  title     = {Adaptive rendering with non-local means filtering},
  journal   = {{ACM} Trans. Graph.},
  volume    = {31},
  number    = {6},
  pages     = {195:1--195:11},
  year      = {2012},
  url       = {https://doi.org/10.1145/2366145.2366214},
  doi       = {10.1145/2366145.2366214},
  timestamp = {Tue, 06 Nov 2018 12:51:26 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tog/RousselleKZ12},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@Article{DBLP:journals/cgf/KuznetsovKR18,
  author    = {Alexandr Kuznetsov and Nima Khademi Kalantari and Ravi Ramamoorthi},
  title     = {Deep Adaptive Sampling for Low Sample Count Rendering},
  journal   = {Comput. Graph. Forum},
  year      = {2018},
  volume    = {37},
  number    = {4},
  pages     = {35--44},
  abstract  = {State of art : Distribution de sample adaptatif lors de la génération d'une image de synthèse :
- High contrast and variance metric => Detect problematic area
- High contrast in multidimensional space
- Constrast and wavelets coefficients
- Frequency content
- Mean absolute deviation at each pixel

Deux problèmes soulevés dans cet article :
- Besoin d'un nombre assez conséquent de sample par pixel pour pouvoir effectuer du débruitage
- Le processus de génération de l'image puis celui de débruitage sont réalisées de manière séparées ce qui intuitivement rend le processus moins optimal.

Beaucoup d'approches utilisant des NR-IQA ont été mis en place pour estimer les zones d'assignations dans samples (via CNN)

Idée générale de l'article :
- Proposer un algorithme/modèle global pouvant combiner à la fois le processus de rendu et le processus de débruitage.
- Noisy image (1spp) -> Sampling map -> Render (3spp) -> Denoiser
- Utilisation d'un gradient spécifique pour le moteur de rendu
- Fonction de perte globale pour les deux modèles (CNNs)

Train :
- 1. Denoiser with 25000 it.
- 2. Sampling map CNN with 5000 it.
- 3. Sampling map CNN and Denoiser alternatively with 40000 it.

Résultat très prometteurs étant donné que l'on se base sur une image de 1spp et qui semble bien généraliser sur l'ensemble des 60 scènes disponibles.
A tout de même du mal à effectuer le rendu de formes très fines qui sont plutôt considérées comme du bruit.},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/cgf/KuznetsovKR18},
  doi       = {10.1111/cgf.13473},
  timestamp = {Thu, 26 Jul 2018 15:12:31 +0200},
  url       = {https://doi.org/10.1111/cgf.13473},
}

@Article{DBLP:journals/corr/abs-1801-03924,
  author        = {Richard Zhang and Phillip Isola and Alexei A. Efros and Eli Shechtman and Oliver Wang},
  title         = {The Unreasonable Effectiveness of Deep Features as a Perceptual Metric},
  journal       = {CoRR},
  year          = {2018},
  volume        = {abs/1801.03924},
  abstract      = {L'approche proposée dans cet article et de comparer les modèles pré-entrainé dans la littérature pour la reconnaissance/classification d'image pour la problématique perceptuelle de qualité de l'image.

Dans un premier temps, une base de données à été générée :
- Distortions traditionnelles
- Distortions issus de réseaux de neurones (CNN)

Le but est ici d'avoir une base vraiment conséquente.

Ensuite, chaque humain ayant contribué à la base a pour objectif de comparer deux images et définir si oui ou non elles sont différentes (classification binaire)
Métrique de comparaison basée sur le calcul de distance entre les deux images.

Enfin, 3 structures de réseaux de neurones pré-entrainés sont utilisées :
- Squeeze
- Alex
- VGG

Lors des résultats, les pois ont été conservés mais également réappris. Il s'avère que lorsque les poids sont conservés, les résultats sont meilleurs.

Conclusion :
- Important de savoir que les modèles pré-entrainés peuvent être conservés et semblent performants (transfert-learning)
- Ici nous sommes dans un contexte de Full-Référence, la métrique est calculée par rapport à l'image de référence

},
  archiveprefix = {arXiv},
  bibsource     = {dblp computer science bibliography, https://dblp.org},
  biburl        = {https://dblp.org/rec/bib/journals/corr/abs-1801-03924},
  eprint        = {1801.03924},
  timestamp     = {Mon, 13 Aug 2018 16:46:50 +0200},
  url           = {http://arxiv.org/abs/1801.03924},
}

@article{DBLP:journals/cgf/BoughidaB17,
  author    = {Malik Boughida and
               Tamy Boubekeur},
  title     = {Bayesian Collaborative Denoising for Monte Carlo Rendering},
  journal   = {Comput. Graph. Forum},
  volume    = {36},
  number    = {4},
  pages     = {137--153},
  year      = {2017},
  abstract  = {Dans cet article, une nouvelle méthode de débruitage est proposée :

Cette méthode cherche à combiner utilisant un framework Bayesien
- Ray Histogram Fusion
- Non-Local Bayes (collaborative filter)

Le modèle prend en entrée 3 informations :
- L'image (Color Buffer)
- Covariance buffer (covariance des pixels)
- Histogram buffer (histogramme des values de chaque pixel depuis le début de la génération)

1. On cherche via l'histogramme buffer des patchs de pixels ayant des natures similaires.
2. A partir de cette information, on estime la covariance de bruit de chaque patch.
3. On applique un processus à partir des informations de covariance estimé sur les patchs ciblés du color buffer.
4. On obtient ainsi les patchs débruités et d'effectuer une phase "aggregate"

Conclusion :
- Approche mathématique détaillée
- Cette approche est vraiment intéressante, toutefois elle nécessite pas mal d'informations acquises lors de la génération de l'image pour que certaines informations (moyenne empririque) convergent (la covariance notamment).
- Pas trop exploitable dans notre cas

},
  url       = {https://doi.org/10.1111/cgf.13231},
  doi       = {10.1111/cgf.13231},
  keywords  = {débruitage algorithme},
  timestamp = {Mon, 17 Jul 2017 16:13:52 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/cgf/BoughidaB17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{dabov2006image,
  title={Image denoising with block-matching and 3D filtering},
  author={Dabov, Kostadin and Foi, Alessandro and Katkovnik, Vladimir and Egiazarian, Karen},
  booktitle={Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning},
  volume={6064},
  pages={606414},
  year={2006},
  organization={International Society for Optics and Photonics}
}

@article{DBLP:journals/tog/EisemannD04,
  author    = {Elmar Eisemann and
               Fr{\'{e}}do Durand},
  title     = {Flash photography enhancement via intrinsic relighting},
  journal   = {{ACM} Trans. Graph.},
  volume    = {23},
  number    = {3},
  pages     = {673--678},
  year      = {2004},
  url       = {https://doi.org/10.1145/1015706.1015778},
  doi       = {10.1145/1015706.1015778},
  keywords  = {débruitage algorithme},
  timestamp = {Tue, 06 Nov 2018 12:51:25 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tog/EisemannD04},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/siamis/LebrunBM13,
  author    = {Marc Lebrun and
               Antoni Buades and
               Jean{-}Michel Morel},
  title     = {A Nonlocal Bayesian Image Denoising Algorithm},
  journal   = {{SIAM} J. Imaging Sciences},
  volume    = {6},
  number    = {3},
  pages     = {1665--1688},
  year      = {2013},
  url       = {https://doi.org/10.1137/120874989},
  doi       = {10.1137/120874989},
  keywords  = {débruitage algorithme},
  timestamp = {Sat, 20 May 2017 00:26:12 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/siamis/LebrunBM13},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tog/PetschniggSACHT04,
  author    = {Georg Petschnigg and
               Richard Szeliski and
               Maneesh Agrawala and
               Michael F. Cohen and
               Hugues Hoppe and
               Kentaro Toyama},
  title     = {Digital photography with flash and no-flash image pairs},
  journal   = {{ACM} Trans. Graph.},
  volume    = {23},
  number    = {3},
  pages     = {664--672},
  year      = {2004},
  url       = {https://doi.org/10.1145/1015706.1015777},
  doi       = {10.1145/1015706.1015777},
  keywords  = {débruitage algorithme},
  timestamp = {Wed, 14 Nov 2018 10:17:24 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tog/PetschniggSACHT04},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/iccv/TomasiM98,
  author    = {Carlo Tomasi and
               Roberto Manduchi},
  title     = {Bilateral Filtering for Gray and Color Images},
  booktitle = {{ICCV}},
  pages     = {839--846},
  year      = {1998},
  url       = {https://doi.org/10.1109/ICCV.1998.710815},
  doi       = {10.1109/ICCV.1998.710815},
  keywords  = {débruitage algorithme},
  timestamp = {Wed, 24 May 2017 08:31:05 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/iccv/TomasiM98},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{vicini2018denoising,
  title={Denoising Deep Monte Carlo Renderings},
  author={Vicini, D and Adler, D and Nov{\'a}k, J and Rousselle, F and Burley, B},
  booktitle={Computer Graphics Forum},
  year={2018},
  organization={Wiley Online Library}
}

@article{DBLP:journals/cgf/ZwickerJLMRRSSY15,
  author    = {Matthias Zwicker and
               Wojciech Jarosz and
               Jaakko Lehtinen and
               Bochang Moon and
               Ravi Ramamoorthi and
               Fabrice Rousselle and
               Pradeep Sen and
               Cyril Soler and
               Sung{-}Eui Yoon},
  title     = {Recent Advances in Adaptive Sampling and Reconstruction for Monte
               Carlo Rendering},
  journal   = {Comput. Graph. Forum},
  volume    = {34},
  number    = {2},
  pages     = {667--681},
  year      = {2015},
  url       = {https://doi.org/10.1111/cgf.12592},
  doi       = {10.1111/cgf.12592},
  timestamp = {Fri, 26 May 2017 22:53:57 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/cgf/ZwickerJLMRRSSY15},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/siggraph/LeeRU85,
  author    = {Mark E. Lee and
               Richard A. Redner and
               Samuel P. Uselton},
  title     = {Statistically optimized sampling for distributed ray tracing},
  booktitle = {Proceedings of the 12th Annual Conference on Computer Graphics and
               Interactive Techniques, {SIGGRAPH} 1985, San Francisco, California,
               USA, July 22-26, 1985},
  pages     = {61--68},
  year      = {1985},
  crossref  = {DBLP:conf/siggraph/1985},
  url       = {https://doi.org/10.1145/325334.325179},
  doi       = {10.1145/325334.325179},
  timestamp = {Tue, 06 Nov 2018 16:59:15 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/siggraph/LeeRU85},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{chaitanya2017interactive,
  title={Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder},
  author={Chaitanya, Chakravarty R Alla and Kaplanyan, Anton S and Schied, Christoph and Salvi, Marco and Lefohn, Aaron and Nowrouzezahrai, Derek and Aila, Timo},
  journal={ACM Transactions on Graphics (TOG)},
  volume={36},
  number={4},
  pages={98},
  year={2017},
  publisher={ACM}
}

@proceedings{DBLP:conf/siggraph/1985,
  editor    = {Pat Cole and
               Robert Heilman and
               Brian A. Barsky},
  title     = {Proceedings of the 12th Annual Conference on Computer Graphics and
               Interactive Techniques, {SIGGRAPH} 1985, San Francisco, California,
               USA, July 22-26, 1985},
  publisher = {{ACM}},
  year      = {1985},
  url       = {https://doi.org/10.1145/325334},
  doi       = {10.1145/325334},
  isbn      = {0-89791-166-0},
  timestamp = {Tue, 06 Nov 2018 16:59:15 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/siggraph/1985},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tog/KalantariBS15,
  author    = {Nima Khademi Kalantari and
               Steve Bako and
               Pradeep Sen},
  title     = {A machine learning approach for filtering Monte Carlo noise},
  journal   = {{ACM} Trans. Graph.},
  volume    = {34},
  number    = {4},
  pages     = {122:1--122:12},
  year      = {2015},
  url       = {https://doi.org/10.1145/2766977},
  doi       = {10.1145/2766977},
  timestamp = {Tue, 06 Nov 2018 12:51:25 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tog/KalantariBS15},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/cgf/KalantariS13,
  author    = {Nima Khademi Kalantari and
               Pradeep Sen},
  title     = {Removing the Noise in Monte Carlo Rendering with General Image Denoising
               Algorithms},
  journal   = {Comput. Graph. Forum},
  volume    = {32},
  number    = {2},
  pages     = {93--102},
  year      = {2013},
  url       = {https://doi.org/10.1111/cgf.12029},
  doi       = {10.1111/cgf.12029},
  timestamp = {Fri, 26 May 2017 22:53:57 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/cgf/KalantariS13},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{lebrun2012secrets,
  title={Secrets of image denoising cuisine},
  author={Lebrun, Marc and Colom, Miguel and Buades, Antoni and Morel, Jean-Michel},
  journal={Acta Numerica},
  volume={21},
  pages={475--576},
  year={2012},
  publisher={Cambridge University Press}
}

@article{moon2014adaptive,
  title={Adaptive rendering based on weighted local regression},
  author={Moon, Bochang and Carr, Nathan and Yoon, Sung-Eui},
  journal={ACM Transactions on Graphics (TOG)},
  volume={33},
  number={5},
  pages={170},
  year={2014},
  publisher={ACM}
}

@article{DBLP:journals/cgf/RousselleMZ13,
  author    = {Fabrice Rousselle and
               Marco Manzi and
               Matthias Zwicker},
  title     = {Robust Denoising using Feature and Color Information},
  journal   = {Comput. Graph. Forum},
  volume    = {32},
  number    = {7},
  pages     = {121--130},
  year      = {2013},
  url       = {https://doi.org/10.1111/cgf.12219},
  doi       = {10.1111/cgf.12219},
  timestamp = {Mon, 05 Jun 2017 20:49:29 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/cgf/RousselleMZ13},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{sen2012filtering,
  title={On filtering the noise from the random parameters in Monte Carlo rendering.},
  author={Sen, Pradeep and Darabi, Soheil},
  journal={ACM Trans. Graph.},
  volume={31},
  number={3},
  pages={18--1},
  year={2012}
}

@article{amirshahi2016image,
  title={Image quality assessment by comparing cnn features between images},
  author={Amirshahi, Seyed Ali and Pedersen, Marius and Yu, Stella X},
  journal={Journal of Imaging Science and Technology},
  volume={60},
  number={6},
  pages={60410--1},
  year={2016},
  publisher={Society for Imaging Science and Technology}
}

@inproceedings{DBLP:conf/cvpr/KimLL16a,
  author    = {Jiwon Kim and
               Jung Kwon Lee and
               Kyoung Mu Lee},
  title     = {Accurate Image Super-Resolution Using Very Deep Convolutional Networks},
  booktitle = {2016 {IEEE} Conference on Computer Vision and Pattern Recognition,
               {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016},
  pages     = {1646--1654},
  year      = {2016},
  crossref  = {DBLP:conf/cvpr/2016},
  url       = {https://doi.org/10.1109/CVPR.2016.182},
  doi       = {10.1109/CVPR.2016.182},
  timestamp = {Thu, 25 May 2017 00:41:16 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/KimLL16a},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/cvpr/2016,
  title     = {2016 {IEEE} Conference on Computer Vision and Pattern Recognition,
               {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016},
  publisher = {{IEEE} Computer Society},
  year      = {2016},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7776647},
  isbn      = {978-1-4673-8851-1},
  timestamp = {Wed, 14 Dec 2016 14:19:41 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/2016},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/cvpr/LedigTHCCAATTWS17,
  author    = {Christian Ledig and
               Lucas Theis and
               Ferenc Huszar and
               Jose Caballero and
               Andrew Cunningham and
               Alejandro Acosta and
               Andrew P. Aitken and
               Alykhan Tejani and
               Johannes Totz and
               Zehan Wang and
               Wenzhe Shi},
  title     = {Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial
               Network},
  booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition,
               {CVPR} 2017, Honolulu, HI, USA, July 21-26, 2017},
  pages     = {105--114},
  year      = {2017},
  crossref  = {DBLP:conf/cvpr/2017},
  url       = {https://doi.org/10.1109/CVPR.2017.19},
  doi       = {10.1109/CVPR.2017.19},
  timestamp = {Fri, 02 Nov 2018 09:44:43 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/LedigTHCCAATTWS17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/cvpr/2017,
  title     = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition,
               {CVPR} 2017, Honolulu, HI, USA, July 21-26, 2017},
  publisher = {{IEEE} Computer Society},
  year      = {2017},
  url       = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8097368},
  isbn      = {978-1-5386-0457-1},
  timestamp = {Tue, 14 Nov 2017 09:55:57 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/2017},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/cvpr/Kim017,
  author    = {Jongyoo Kim and
               Sanghoon Lee},
  title     = {Deep Learning of Human Visual Sensitivity in Image Quality Assessment
               Framework},
  booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition,
               {CVPR} 2017, Honolulu, HI, USA, July 21-26, 2017},
  pages     = {1969--1977},
  year      = {2017},
  crossref  = {DBLP:conf/cvpr/2017},
  url       = {https://doi.org/10.1109/CVPR.2017.213},
  doi       = {10.1109/CVPR.2017.213},
  timestamp = {Tue, 14 Nov 2017 17:15:06 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/cvpr/Kim017},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{DBLP:journals/mmas/BuadesCM05,
  author    = {Antoni Buades and
               Bartomeu Coll and
               Jean{-}Michel Morel},
  title     = {A Review of Image Denoising Algorithms, with a New One},
  journal   = {Multiscale Modeling {\&} Simulation},
  volume    = {4},
  number    = {2},
  pages     = {490--530},
  year      = {2005},
  url       = {https://doi.org/10.1137/040616024},
  doi       = {10.1137/040616024},
  timestamp = {Sun, 28 May 2017 13:20:18 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/mmas/BuadesCM05},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{donoho1994ideal,
  title={Ideal spatial adaptation by wavelet shrinkage},
  author={Donoho, David L and Johnstone, Jain M},
  journal={biometrika},
  volume={81},
  number={3},
  pages={425--455},
  year={1994},
  publisher={Oxford University Press}
}

@article{DBLP:journals/tip/PortillaSWS03,
  author    = {Javier Portilla and
               Vasily Strela and
               Martin J. Wainwright and
               Eero P. Simoncelli},
  title     = {Image denoising using scale mixtures of Gaussians in the wavelet domain},
  journal   = {{IEEE} Trans. Image Processing},
  volume    = {12},
  number    = {11},
  pages     = {1338--1351},
  year      = {2003},
  url       = {https://doi.org/10.1109/TIP.2003.818640},
  doi       = {10.1109/TIP.2003.818640},
  timestamp = {Wed, 14 Nov 2018 10:37:35 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/tip/PortillaSWS03},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{fawcett2006introduction,
  title={An introduction to ROC analysis},
  author={Fawcett, Tom},
  journal={Pattern recognition letters},
  volume={27},
  number={8},
  pages={861--874},
  year={2006},
  publisher={Elsevier}
}

@article{DBLP:journals/access/ZhengWYZZ18,
  author    = {Ziqiang Zheng and
               Chao Wang and
               Zhibin Yu and
               Haiyong Zheng and
               Bing Zheng},
  title     = {Instance Map Based Image Synthesis With a Denoising Generative Adversarial
               Network},
  journal   = {{IEEE} Access},
  volume    = {6},
  pages     = {33654--33665},
  year      = {2018},
  url       = {https://doi.org/10.1109/ACCESS.2018.2849108},
  doi       = {10.1109/ACCESS.2018.2849108},
  timestamp = {Thu, 06 Sep 2018 13:44:30 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/access/ZhengWYZZ18},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}



@article{DBLP:journals/prl/Fawcett06,
  author    = {Tom Fawcett},
  title     = {An introduction to {ROC} analysis},
  journal   = {Pattern Recognition Letters},
  volume    = {27},
  number    = {8},
  pages     = {861--874},
  year      = {2006},
  url       = {https://doi.org/10.1016/j.patrec.2005.10.010},
  doi       = {10.1016/j.patrec.2005.10.010},
  timestamp = {Wed, 14 Nov 2018 10:49:48 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/prl/Fawcett06},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/rt/Myszkowske98,
  author    = {Karol Myszkowski},
  title     = {The Visible Differences Predictor: Applications to Global Illumination
               Problems},
  booktitle = {Rendering Techniques '98, Proceedings of the Eurographics Workshop
               in Vienna, Austria, June 29 - July 1, 1998},
  pages     = {223--236},
  year      = {1998},
  crossref  = {DBLP:conf/rt/1998},
  url       = {https://doi.org/10.1007/978-3-7091-6453-2\_21},
  doi       = {10.1007/978-3-7091-6453-2\_21},
  timestamp = {Thu, 25 May 2017 00:43:28 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/rt/Myszkowske98},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/rt/1998,
  editor    = {George Drettakis and
               Nelson L. Max},
  title     = {Rendering Techniques '98, Proceedings of the Eurographics Workshop
               in Vienna, Austria, June 29 - July 1, 1998},
  series    = {Eurographics},
  publisher = {Springer},
  year      = {1998},
  url       = {https://doi.org/10.1007/978-3-7091-6453-2},
  doi       = {10.1007/978-3-7091-6453-2},
  isbn      = {3-211-83213-0},
  timestamp = {Thu, 25 May 2017 00:43:28 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/rt/1998},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{galdran2017retinal,
  title={Retinal Image Quality Assessment by Mean-Subtracted Contrast-Normalized Coefficients},
  author={Galdran, Adrian and Ara{\'u}jo, Teresa and Mendon{\c{c}}a, Ana Maria and Campilho, Aur{\'e}lio},
  booktitle={European Congress on Computational Methods in Applied Sciences and Engineering},
  pages={844--853},
  year={2017},
  organization={Springer}
}

@article{DBLP:journals/cbm/ZagoADS18,
  author    = {Gabriel Tozatto Zago and
               Rodrigo Varej{\~{a}}o Andre{\~{a}}o and
               Bernadette Dorizzi and
               Evandro Ottoni Teatini Salles},
  title     = {Retinal image quality assessment using deep learning},
  journal   = {Comp. in Bio. and Med.},
  volume    = {103},
  pages     = {64--70},
  year      = {2018},
  url       = {https://doi.org/10.1016/j.compbiomed.2018.10.004},
  doi       = {10.1016/j.compbiomed.2018.10.004},
  timestamp = {Mon, 26 Nov 2018 15:17:45 +0100},
  biburl    = {https://dblp.org/rec/bib/journals/cbm/ZagoADS18},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/tip/MittalMB12,
	author    = {Anish Mittal and Anush Krishna Moorthy and Alan Conrad Bovik},
	title     = {No-Reference Image Quality Assessment in the Spatial Domain},
	journal   = {{IEEE} Trans. Image Processing},
	year      = {2012},
	volume    = {21},
	number    = {12},
	pages     = {4695--4708},
	abstract  = {Présentation de la métrique BRISQUE}
}

@article{DBLP:journals/ijon/ConstantinBCH15,
	author    = {Joseph Constantin and
	Andr{\'{e}} Bigand and
	Ibtissam Constantin and
	Denis Hamad},
	title     = {Image noise detection in global illumination methods based on {FRVM}},
	journal   = {Neurocomputing},
	volume    = {164},
	pages     = {82--95},
	year      = {2015},
	url       = {https://doi.org/10.1016/j.neucom.2014.10.090},
	doi       = {10.1016/j.neucom.2014.10.090},
	timestamp = {Sat, 20 May 2017 00:24:59 +0200},
	biburl    = {https://dblp.org/rec/bib/journals/ijon/ConstantinBCH15},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/siggraph/Kajiya86,
	author    = {James T. Kajiya},
	title     = {The rendering equation},
	booktitle = {Proceedings of the 13th Annual Conference on Computer Graphics and
	Interactive Techniques, {SIGGRAPH} 1986, Dallas, Texas, USA, August
	18-22, 1986},
	pages     = {143--150},
	year      = {1986},
	crossref  = {DBLP:conf/siggraph/1986},
	url       = {http://doi.acm.org/10.1145/15922.15902},
	doi       = {10.1145/15922.15902},
	timestamp = {Wed, 14 Feb 2018 13:29:27 +0100},
	biburl    = {https://dblp.org/rec/bib/conf/siggraph/Kajiya86},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@proceedings{DBLP:conf/siggraph/1986,
	editor    = {David C. Evans and
	Russell J. Athay},
	title     = {Proceedings of the 13th Annual Conference on Computer Graphics and
	Interactive Techniques, {SIGGRAPH} 1986, Dallas, Texas, USA, August
	18-22, 1986},
	publisher = {{ACM}},
	year      = {1986},
	url       = {http://doi.acm.org/10.1145/15922},
	doi       = {10.1145/15922},
	isbn      = {0-89791-196-2},
	timestamp = {Wed, 14 Feb 2018 13:29:27 +0100},
	biburl    = {https://dblp.org/rec/bib/conf/siggraph/1986},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@Comment{jabref-meta: databaseType:bibtex;}