PaletteOptimiser

optimiser.py

20:99d5a002b1ce
2015-09-30 Paul Boddie Changed the approach, introducing dithering with the "vertex colours" and a halftoning algorithm first, then choosing the most used four colours on each row, assigning the nearest of these colours to any other colours used.
     1 #!/usr/bin/env python     2      3 from itertools import combinations     4 from random import randint     5 import EXIF     6 import PIL.Image     7 import math     8 import sys     9     10 corners = [    11     (0, 0, 0), (255, 0, 0), (0, 255, 0), (255, 255, 0),    12     (0, 0, 255), (255, 0, 255), (0, 255, 255), (255, 255, 255)    13     ]    14     15 def distance(rgb1, rgb2):    16     r1, g1, b1 = rgb1    17     r2, g2, b2 = rgb2    18     return math.sqrt(pow(r1 - r2, 2) + pow(g1 - g2, 2) + pow(b1 - b2, 2))    19     20 def brightness(rgb):    21     return distance(rgb, (0, 0, 0))    22     23 def factor(start, end, rgb):    24     r1, g1, b1 = start    25     r2, g2, b2 = end    26     gr, gg, gb = r2 - r1, g2 - g1, b2 - b1    27     r, g, b = rgb    28     pr, pg, pb = r - r1, g - g1, b - b1    29     dp = pr * gr + pg * gg + pb * gb    30     return dp / pow(distance(start, end), 2)    31     32 def darklight(rgb1, rgb2):    33     if brightness(rgb1) <= brightness(rgb2):    34         return rgb1, rgb2    35     else:    36         return rgb2, rgb1    37     38 def nearest(rgb, values=None):    39     l = map(lambda c: (distance(rgb, c), c), values or corners)    40     l.sort()    41     return l    42     43 def pattern(rgb):    44     l = nearest(rgb)    45     start, end = l[0][1], l[1][1]    46     f = factor(start, end, rgb)    47     #if f > 0.5:    48     #    start, end = end, start    49     #    f = 1 - f    50     return start, end, f    51     52 def choose(seq, f):    53     last = int(seq * math.sqrt(f))    54     current = int((seq + 1) * math.sqrt(f))    55     return last != current    56     57 def get_value(xy, rgb, width, height):    58     x, y = xy    59     rgb1, rgb2, f = pattern(rgb)    60     if choose(x + randint(0, width), f) and choose(y + randint(0, height), f):    61         return rgb2    62     else:    63         return rgb1    64     65 def get_best(rgb, values):    66     return nearest(rgb, values)[0][1]    67     68 def test():    69     size = 512    70     for r in (0, 63, 127, 191, 255):    71         im = PIL.Image.new("RGB", (size, size))    72         for g in range(0, size):    73             for b in range(0, size):    74                 value = get_value((g, b), (r, (g * 256) / size, (b * 256 / size)), size, size)    75                 im.putpixel((g, b), value)    76         im.save("rgb%d.png" % r)    77     78 def test_flat(rgb):    79     size = 64    80     im = PIL.Image.new("RGB", (size, size))    81     for y in range(0, size):    82         for x in range(0, size):    83             im.putpixel((x, y), get_value((x, y), rgb, size, size))    84     im.save("rgb%02d%02d%02d.png" % rgb)    85     86 def rotate_and_scale(im, width, height, rotate):    87     if rotate or x and x["Image Orientation"].values == [6L]:    88         im = im.rotate(270)    89     90     w, h = im.size    91     if w > h:    92         height = (width * h) / w    93     else:    94         width = (height * w) / h    95     96     return im.resize((width, height))    97     98 if __name__ == "__main__":    99     if "--test" in sys.argv:   100         test()   101         sys.exit(0)   102     elif "--test-flat" in sys.argv:   103         test_flat((120, 40, 60))   104         sys.exit(0)   105    106     width = 320   107     height = 256   108    109     input_filename, output_filename = sys.argv[1:3]   110     rotate = "-r" in sys.argv[3:]   111    112     x = EXIF.process_file(open(input_filename))   113     im = PIL.Image.open(input_filename)   114     im = rotate_and_scale(im, width, height, rotate)   115    116     width, height = im.size   117    118     colours = []   119    120     for y in range(0, height):   121         c = {}   122         for x in range(0, width):   123             rgb = im.getpixel((x, y))   124             value = get_value((x, y), rgb, width, height)   125             im.putpixel((x, y), value)   126             if not c.has_key(value):   127                 c[value] = 1   128             else:   129                 c[value] += 1   130         c = [(n, value) for value, n in c.items()]   131         c.sort(reverse=True)   132         colours.append(c)   133    134     for y, c in enumerate(colours):   135         if len(c) <= 4:   136             continue   137         most = [value for n, value in c[:4]]   138         least = [value for n, value in c[4:]]   139    140         for x in range(0, width):   141             rgb = im.getpixel((x, y))   142             if rgb in least:   143                 value = get_best(rgb, most)   144                 im.putpixel((x, y), value)   145    146     im.save(output_filename)   147    148 # vim: tabstop=4 expandtab shiftwidth=4