filter.py

   1 from PIL import Image
   2
   3 def edge_detection(image):
   4     image_l = image.load()
   5     new_image = Image.new('L', image.size)
   6     new_image_l = new_image.load()
   7     for x in range(2, image.size[0] - 2):
   8         for y in range(2, image.size[1] - 2):
   9             pix = sum([sum([image_l[a, b] for b in range(y - 2, y + 3)]) for a in range(x - 2, x + 3)]) - (25 * image_l[x, y])
  10             if pix > 255:
  11                 pix = 255
  12             if pix < 0:
  13                 pix = 0
  14             new_image_l[x, y] = pix
  15     return new_image
  16
  17 def high_pass(image, high_pass):
  18     image_l = image.load()
  19     new_image = Image.new('L', image.size)
  20     new_image_l = new_image.load()
  21     for x in range(image.size[0]):
  22         for y in range(image.size[1]):
  23             if image_l[x, y] < high_pass:
  24                 new_image_l[x, y] = 0
  25             else:
  26                 new_image_l[x, y] = image_l[x, y]
  27
  28     return new_image