Examples

Some examples are already available into documentation. You can find here some others and results of use of IPFML package.

All examples below will use this picture.

_images/nature.jpg

Metrics example

Using metrics module you can convert image into Lab, XYZ, SVD…

from PIL import Image
from ipfml import metrics

img_path = 'path/to/image_nature.jpg'
img = Image.open(img_path)

s = metrics.get_LAB_L(img)

# convert result into PIL Image
output = Image.fromarray(s)
output.show()

This is the generated output using only L chanel from Lab.

_images/nature_lab_l.png

Processing example

from PIL import Image
from ipfml import processing

img_path = 'path/to/image_nature.jpg'
img = Image.open(img_path)

low_bits_img = processing.rgb_to_grey_low_bits(img, 6)

output = Image.fromarray(low_bits_img)
output.show()

Now we have picture information with only the 6 low bits values.

_images/nature_low_bits_6.png

Noise filter example

from PIL import Image
from ipfml.filters import noise as nf

img_path = 'path/to/image_nature.jpg'
img = Image.open(img_path)

# set noise impact to 400
# set same noise for each chanel
noisy_image = nf.gaussian_noise(img, n=400, identical=True)

output = Image.fromarray(noisy_image)
output.show()

Image result after applying gaussian noise on nature image.

_images/nature_gaussian_noise.png