Fun little demo of Convolution Kernels in image processing

emerald-city.py

from imagekit import *

i = ImageBuffer.fromJPEG('seattle.jpg')

# Darken, and pallete swap (emerald)
darken = [
    0.00, 0.00, 0.00,
    0.16, 0.16, 0.16,
    0.16, 0.16, 0.16]

# Pre blur matrix
bl_matrix = [1.0/25.0 for a in range(25)]

# Post blur matrix
vb_matrix = [
    0.3, 0.4, 0.3,
    0.3, 0.2, 0.3,
    0.3, 0.4, 0.3]

# Outline matrix
ot_matrix = [
    1,  1,  1,
    1, -7,  1,
    1,  1,  1]

# Edge Detect
ed_matrix = [
    0,  0, -1,  0,  0,
   -1, -1, -1, -1, -1,
    0,  0, 12,  0,  0,
   -1, -1, -1, -1, -1,
    0,  0, -1,  0,  0]

# Apply Filters
i.apply_matrix(darken)
i.apply_cvkernel(bl_matrix)
i.apply_cvkernel(ot_matrix)
i.apply_cvkernel(ed_matrix)
i.apply_cvkernel(vb_matrix)

i.savePNG('output.png')