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.

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.

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.

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.