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matlabPyrTools_1.4_fixed
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sp5Filters.m

sp5Filters.m 6.8 KB
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  1. % Steerable pyramid filters.  Transform described  in:
    2. 

  2. %
    3. 

  3. % @INPROCEEDINGS{Simoncelli95b,
    4. 

  4. %	TITLE = "The Steerable Pyramid: A Flexible Architecture for
    5. 

  5. %		 Multi-Scale Derivative Computation",
    6. 

  6. %	AUTHOR = "E P Simoncelli and W T Freeman",
    7. 

  7. %	BOOKTITLE = "Second Int'l Conf on Image Processing",
    8. 

  8. %	ADDRESS = "Washington, DC", MONTH = "October", YEAR = 1995 }
    9. 

  9. %
    10. 

  10. % Filter kernel design described in:
    11. 

  11. %
    12. 

  12. %@INPROCEEDINGS{Karasaridis96,
    13. 

  13. %	TITLE = "A Filter Design Technique for 
    14. 

  14. %		Steerable Pyramid Image Transforms",
    15. 

  15. %	AUTHOR = "A Karasaridis and E P Simoncelli",
    16. 

  16. %	BOOKTITLE = "ICASSP",	ADDRESS = "Atlanta, GA",
    17. 

  17. %	MONTH = "May",	YEAR = 1996 }
    18. 

  18. 

  19. % Eero Simoncelli, 6/96.
    20. 

  20. 

  21. function [lo0filt,hi0filt,lofilt,bfilts,mtx,harmonics] = sp5Filters();
    22. 

  22. 

  23. harmonics = [1 3 5];
    24. 

  24. 

  25. mtx = [ ...
    26. 

  26.     0.3333    0.2887    0.1667    0.0000   -0.1667   -0.2887
    27. 

  27.     0.0000    0.1667    0.2887    0.3333    0.2887    0.1667
    28. 

  28.     0.3333   -0.0000   -0.3333   -0.0000    0.3333   -0.0000
    29. 

  29.     0.0000    0.3333    0.0000   -0.3333    0.0000    0.3333
    30. 

  30.     0.3333   -0.2887    0.1667   -0.0000   -0.1667    0.2887
    31. 

  31.    -0.0000    0.1667   -0.2887    0.3333   -0.2887    0.1667];
    32. 

  32. 

  33. hi0filt = [ 
    34. 

  34. -0.00033429 -0.00113093 -0.00171484 -0.00133542 -0.00080639 -0.00133542 -0.00171484 -0.00113093 -0.00033429
    35. 

  35. -0.00113093 -0.00350017 -0.00243812 0.00631653 0.01261227 0.00631653 -0.00243812 -0.00350017 -0.00113093
    36. 

  36. -0.00171484 -0.00243812 -0.00290081 -0.00673482 -0.00981051 -0.00673482 -0.00290081 -0.00243812 -0.00171484
    37. 

  37. -0.00133542 0.00631653 -0.00673482 -0.07027679 -0.11435863 -0.07027679 -0.00673482 0.00631653 -0.00133542
    38. 

  38. -0.00080639 0.01261227 -0.00981051 -0.11435863 0.81380200 -0.11435863 -0.00981051 0.01261227 -0.00080639
    39. 

  39. -0.00133542 0.00631653 -0.00673482 -0.07027679 -0.11435863 -0.07027679 -0.00673482 0.00631653 -0.00133542
    40. 

  40. -0.00171484 -0.00243812 -0.00290081 -0.00673482 -0.00981051 -0.00673482 -0.00290081 -0.00243812 -0.00171484
    41. 

  41. -0.00113093 -0.00350017 -0.00243812 0.00631653 0.01261227 0.00631653 -0.00243812 -0.00350017 -0.00113093
    42. 

  42. -0.00033429 -0.00113093 -0.00171484 -0.00133542 -0.00080639 -0.00133542 -0.00171484 -0.00113093 -0.00033429];
    43. 

  43. 

  44. 

  45. lo0filt = [
    46. 

  46. 0.00341614 -0.01551246 -0.03848215 -0.01551246 0.00341614
    47. 

  47. -0.01551246 0.05586982 0.15925570 0.05586982 -0.01551246
    48. 

  48. -0.03848215 0.15925570 0.40304148 0.15925570 -0.03848215
    49. 

  49. -0.01551246 0.05586982 0.15925570 0.05586982 -0.01551246
    50. 

  50. 0.00341614 -0.01551246 -0.03848215 -0.01551246 0.00341614];
    51. 

  51. 

  52. lofilt = 2*[
    53. 

  53. 0.00085404 -0.00244917 -0.00387812 -0.00944432 -0.00962054 -0.00944432 -0.00387812 -0.00244917 0.00085404
    54. 

  54. -0.00244917 -0.00523281 -0.00661117 0.00410600 0.01002988 0.00410600 -0.00661117 -0.00523281 -0.00244917
    55. 

  55. -0.00387812 -0.00661117 0.01396746 0.03277038 0.03981393 0.03277038 0.01396746 -0.00661117 -0.00387812
    56. 

  56. -0.00944432 0.00410600 0.03277038 0.06426333 0.08169618 0.06426333 0.03277038 0.00410600 -0.00944432
    57. 

  57. -0.00962054 0.01002988 0.03981393 0.08169618 0.10096540 0.08169618 0.03981393 0.01002988 -0.00962054
    58. 

  58. -0.00944432 0.00410600 0.03277038 0.06426333 0.08169618 0.06426333 0.03277038 0.00410600 -0.00944432
    59. 

  59. -0.00387812 -0.00661117 0.01396746 0.03277038 0.03981393 0.03277038 0.01396746 -0.00661117 -0.00387812
    60. 

  60. -0.00244917 -0.00523281 -0.00661117 0.00410600 0.01002988 0.00410600 -0.00661117 -0.00523281 -0.00244917
    61. 

  61. 0.00085404 -0.00244917 -0.00387812 -0.00944432 -0.00962054 -0.00944432 -0.00387812 -0.00244917 0.00085404];
    62. 

  62. 

  63. bfilts = [...
    64. 

  64.  0.00277643 0.00496194 0.01026699 0.01455399 0.01026699 0.00496194 0.00277643 ...
    65. 

  65. -0.00986904 -0.00893064 0.01189859 0.02755155 0.01189859 -0.00893064 -0.00986904 ...
    66. 

  66. -0.01021852 -0.03075356 -0.08226445 -0.11732297 -0.08226445 -0.03075356 -0.01021852 ...
    67. 

  67.  0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 ...
    68. 

  68.  0.01021852 0.03075356 0.08226445 0.11732297 0.08226445 0.03075356 0.01021852 ...
    69. 

  69.  0.00986904 0.00893064 -0.01189859 -0.02755155 -0.01189859 0.00893064 0.00986904 ...
    70. 

  70. -0.00277643 -0.00496194 -0.01026699 -0.01455399 -0.01026699 -0.00496194 -0.00277643;
    71. 

  71. ...
    72. 

  72. -0.00343249 -0.00640815 -0.00073141 0.01124321 0.00182078 0.00285723 0.01166982 ...
    73. 

  73. -0.00358461 -0.01977507 -0.04084211 -0.00228219 0.03930573 0.01161195 0.00128000 ...
    74. 

  74.  0.01047717 0.01486305 -0.04819057 -0.12227230 -0.05394139 0.00853965 -0.00459034 ...
    75. 

  75.  0.00790407 0.04435647 0.09454202 -0.00000000 -0.09454202 -0.04435647 -0.00790407 ...
    76. 

  76.  0.00459034 -0.00853965 0.05394139 0.12227230 0.04819057 -0.01486305 -0.01047717 ...
    77. 

  77. -0.00128000 -0.01161195 -0.03930573 0.00228219 0.04084211 0.01977507 0.00358461 ...
    78. 

  78. -0.01166982 -0.00285723 -0.00182078 -0.01124321 0.00073141 0.00640815 0.00343249;
    79. 

  79. ...
    80. 

  80.  0.00343249 0.00358461 -0.01047717 -0.00790407 -0.00459034 0.00128000 0.01166982 ...
    81. 

  81.  0.00640815 0.01977507 -0.01486305 -0.04435647 0.00853965 0.01161195 0.00285723 ...
    82. 

  82.  0.00073141 0.04084211 0.04819057 -0.09454202 -0.05394139 0.03930573 0.00182078 ...
    83. 

  83. -0.01124321 0.00228219 0.12227230 -0.00000000 -0.12227230 -0.00228219 0.01124321 ...
    84. 

  84. -0.00182078 -0.03930573 0.05394139 0.09454202 -0.04819057 -0.04084211 -0.00073141 ...
    85. 

  85. -0.00285723 -0.01161195 -0.00853965 0.04435647 0.01486305 -0.01977507 -0.00640815 ...
    86. 

  86. -0.01166982 -0.00128000 0.00459034 0.00790407 0.01047717 -0.00358461 -0.00343249;
    87. 

  87. ...
    88. 

  88. -0.00277643 0.00986904 0.01021852 -0.00000000 -0.01021852 -0.00986904 0.00277643 ...
    89. 

  89. -0.00496194 0.00893064 0.03075356 -0.00000000 -0.03075356 -0.00893064 0.00496194 ...
    90. 

  90. -0.01026699 -0.01189859 0.08226445 -0.00000000 -0.08226445 0.01189859 0.01026699 ...
    91. 

  91. -0.01455399 -0.02755155 0.11732297 -0.00000000 -0.11732297 0.02755155 0.01455399 ...
    92. 

  92. -0.01026699 -0.01189859 0.08226445 -0.00000000 -0.08226445 0.01189859 0.01026699 ...
    93. 

  93. -0.00496194 0.00893064 0.03075356 -0.00000000 -0.03075356 -0.00893064 0.00496194 ...
    94. 

  94. -0.00277643 0.00986904 0.01021852 -0.00000000 -0.01021852 -0.00986904 0.00277643;
    95. 

  95. ...
    96. 

  96. -0.01166982 -0.00128000 0.00459034 0.00790407 0.01047717 -0.00358461 -0.00343249 ...
    97. 

  97. -0.00285723 -0.01161195 -0.00853965 0.04435647 0.01486305 -0.01977507 -0.00640815 ...
    98. 

  98. -0.00182078 -0.03930573 0.05394139 0.09454202 -0.04819057 -0.04084211 -0.00073141 ...
    99. 

  99. -0.01124321 0.00228219 0.12227230 -0.00000000 -0.12227230 -0.00228219 0.01124321 ...
    100. 

  100.  0.00073141 0.04084211 0.04819057 -0.09454202 -0.05394139 0.03930573 0.00182078 ...
    101. 

  101.  0.00640815 0.01977507 -0.01486305 -0.04435647 0.00853965 0.01161195 0.00285723 ...
    102. 

  102.  0.00343249 0.00358461 -0.01047717 -0.00790407 -0.00459034 0.00128000 0.01166982;
    103. 

  103. ...
    104. 

  104. -0.01166982 -0.00285723 -0.00182078 -0.01124321 0.00073141 0.00640815 0.00343249 ...
    105. 

  105. -0.00128000 -0.01161195 -0.03930573 0.00228219 0.04084211 0.01977507 0.00358461 ...
    106. 

  106.  0.00459034 -0.00853965 0.05394139 0.12227230 0.04819057 -0.01486305 -0.01047717 ...
    107. 

  107.  0.00790407 0.04435647 0.09454202 -0.00000000 -0.09454202 -0.04435647 -0.00790407 ...
    108. 

  108.  0.01047717 0.01486305 -0.04819057 -0.12227230 -0.05394139 0.00853965 -0.00459034 ...
    109. 

  109. -0.00358461 -0.01977507 -0.04084211 -0.00228219 0.03930573 0.01161195 0.00128000 ...
    110. 

  110. -0.00343249 -0.00640815 -0.00073141 0.01124321 0.00182078 0.00285723 0.01166982]'; 
    111.