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](_images/nature.jpg)
Processing example¶
from PIL import Image
from ipfml.processing import transform
img_path = 'path/to/image_nature.jpg'
img = Image.open(img_path)
low_bits_img = transform.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](_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](_images/nature_gaussian_noise.png)