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Python 3, 5797.125628604383

The compression program first truncates the bits of the image, and then converts base 2 to base 36.

The decode program does that in reverse, and re-sizes the image.

from PIL.Image import new
K=bin(int('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',36))[3:]
a=[]
for x in range(0,len(K),18):
    Y=K[x:x+18]
    y=[Y[0:6],Y[6:12],Y[12:18]]
    for x in range(0,3):
        y[x]=int(y[x],2)*8
    a.append(tuple(y))
i=new('RGB',(16,13))
i.putdata(a)
i.resize((386,320),1).save('2.png')

Edit:

6874.723629373318

The rectangles were made using an optimization algorithm that randomly changes each rectangle's position and color, and only accepts an answer better than before. So far, it is only 658 bytes.

from PIL import Image as I,ImageDraw as D, ImageFilter as F
i=I.new('RGB',(386,320))
K=[[127,176,47,257,85,52,160],[0,319,274,54,52,53,63],[321,0,0,233,84,108,139],[58,0,385,319,52,53,65],[156,318,47,122,33,38,35],[384,140,76,0,68,84,126],[353,140,86,220,79,102,113],[385,195,202,267,63,84,109],[312,162,385,13,127,146,153],[236,270,319,143,47,67,92],[331,198,110,80,103,124,147],[370,213,278,234,73,98,121],[311,54,70,107,88,109,146],[247,16,217,40,114,129,116],[372,23,325,87,183,177,97]]
e=D.Draw(i)
for x in range(0,len(K)):
    x=K[x]
    e.rectangle((x[0],x[1],x[2],x[3]),(x[4],x[5],x[6]))
i=i.filter(F.GaussianBlur(radius=4))
i.save('2.png')

Python 3, 5797.125628604383

The compression program first truncates the bits of the image, and then converts base 2 to base 36.

The decode program does that in reverse, and re-sizes the image.

from PIL.Image import new
K=bin(int('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',36))[3:]
a=[]
for x in range(0,len(K),18):
    Y=K[x:x+18]
    y=[Y[0:6],Y[6:12],Y[12:18]]
    for x in range(0,3):
        y[x]=int(y[x],2)*8
    a.append(tuple(y))
i=new('RGB',(16,13))
i.putdata(a)
i.resize((386,320),1).save('2.png')

Python 3, 5797.125628604383

The compression program first truncates the bits of the image, and then converts base 2 to base 36.

The decode program does that in reverse, and re-sizes the image.

from PIL.Image import new
K=bin(int('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',36))[3:]
a=[]
for x in range(0,len(K),18):
    Y=K[x:x+18]
    y=[Y[0:6],Y[6:12],Y[12:18]]
    for x in range(0,3):
        y[x]=int(y[x],2)*8
    a.append(tuple(y))
i=new('RGB',(16,13))
i.putdata(a)
i.resize((386,320),1).save('2.png')

Edit:

6874.723629373318

The rectangles were made using an optimization algorithm that randomly changes each rectangle's position and color, and only accepts an answer better than before.

from PIL import Image as I,ImageDraw as D, ImageFilter as F
i=I.new('RGB',(386,320))
K=[[127,176,47,257,85,52,160],[0,319,274,54,52,53,63],[321,0,0,233,84,108,139],[58,0,385,319,52,53,65],[156,318,47,122,33,38,35],[384,140,76,0,68,84,126],[353,140,86,220,79,102,113],[385,195,202,267,63,84,109],[312,162,385,13,127,146,153],[236,270,319,143,47,67,92],[331,198,110,80,103,124,147],[370,213,278,234,73,98,121],[311,54,70,107,88,109,146],[247,16,217,40,114,129,116],[372,23,325,87,183,177,97]]
e=D.Draw(i)
for x in range(0,len(K)):
    x=K[x]
    e.rectangle((x[0],x[1],x[2],x[3]),(x[4],x[5],x[6]))
i=i.filter(F.GaussianBlur(radius=4))
i.save('2.png')

Python 3, 5797.125628604383

The compression program first truncates the bits of the image, and then converts base 2 to base 36.

The decode program does that in reverse, and re-sizes the image.

from PIL.Image import new
K=bin(int('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',36))[3:]
a=[]
for x in range(0,len(K),18):
    Y=K[x:x+18]
    y=[Y[0:6],Y[6:12],Y[12:18]]
    for x in range(0,3):
        y[x]=int(y[x],2)*8
    a.append(tuple(y))
i=new('RGB',(16,13))
i.putdata(a)
i.resize((386,320),1).save('2.png')

Edit:

6874.723629373318

The rectangles were made using an optimization algorithm that randomly changes each rectangle's position and color, and only accepts an answer better than before. So far, it is only 658 bytes.

from PIL import Image as I,ImageDraw as D, ImageFilter as F
i=I.new('RGB',(386,320))
K=[[127,176,47,257,85,52,160],[0,319,274,54,52,53,63],[321,0,0,233,84,108,139],[58,0,385,319,52,53,65],[156,318,47,122,33,38,35],[384,140,76,0,68,84,126],[353,140,86,220,79,102,113],[385,195,202,267,63,84,109],[312,162,385,13,127,146,153],[236,270,319,143,47,67,92],[331,198,110,80,103,124,147],[370,213,278,234,73,98,121],[311,54,70,107,88,109,146],[247,16,217,40,114,129,116],[372,23,325,87,183,177,97]]
e=D.Draw(i)
for x in range(0,len(K)):
    x=K[x]
    e.rectangle((x[0],x[1],x[2],x[3]),(x[4],x[5],x[6]))
i=i.filter(F.GaussianBlur(radius=4))
i.save('2.png')

Python 3, 5797.125628604383

The compression program first truncates the bits of the image, and then converts base 2 to base 36.

The decode program does that in reverse, and re-sizes the image.

from PIL.Image import new
K=bin(int('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',36))[3:]
a=[]
for x in range(0,len(K),18):
    Y=K[x:x+18]
    y=[Y[0:6],Y[6:12],Y[12:18]]
    for x in range(0,3):
        y[x]=int(y[x],2)*8
    a.append(tuple(y))
i=new('RGB',(16,13))
i.putdata(a)
i.resize((386,320),1).save('2.png')

Edit:

7218.831434063822

The rectangles were made using an optimization algorithm that randomly changes each rectangle's position and color, and only accepts an answer better than before.

from PIL import Image as I,ImageDraw as D, ImageFilter as F
import time
i=I.new('RGB',(386,320))
K=[[383,311,98,2,85,86,50],[0,319,233,83,49,57,63],[228,0,0,233,84,105,137],[59,13,385,319,52,58,68],[284,317,47,121,36,42,45],[385,136,75,0,68,86,128],[255,55,88,219,96,118,140],[385,69,201,267,70,87,112],[312,162,385,14,158,168,131],[231,315,321,200,49,60,81],[324,198,201,62,100,125,148],[322,209,300,253,63,82,116],[257,76,133,96,79,102,141],[248,16,143,30,84,99,122],[384,94,233,129,83,112,151]]
e=D.Draw(i)
for x in range(0,len(K)):
    x=K[x]
    e.rectangle((x[0],x[1],x[2],x[3]),(x[4],x[5],x[6]))
i=i.filter(F.GaussianBlur(radius=4))
i.save('2.png')

Python 3, 5797.125628604383

The compression program first truncates the bits of the image, and then converts base 2 to base 36.

The decode program does that in reverse, and re-sizes the image.

from PIL.Image import new
K=bin(int('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',36))[3:]
a=[]
for x in range(0,len(K),18):
    Y=K[x:x+18]
    y=[Y[0:6],Y[6:12],Y[12:18]]
    for x in range(0,3):
        y[x]=int(y[x],2)*8
    a.append(tuple(y))
i=new('RGB',(16,13))
i.putdata(a)
i.resize((386,320),1).save('2.png')

Edit:

6874.723629373318

The rectangles were made using an optimization algorithm that randomly changes each rectangle's position and color, and only accepts an answer better than before.

from PIL import Image as I,ImageDraw as D, ImageFilter as F
i=I.new('RGB',(386,320))
K=[[127,176,47,257,85,52,160],[0,319,274,54,52,53,63],[321,0,0,233,84,108,139],[58,0,385,319,52,53,65],[156,318,47,122,33,38,35],[384,140,76,0,68,84,126],[353,140,86,220,79,102,113],[385,195,202,267,63,84,109],[312,162,385,13,127,146,153],[236,270,319,143,47,67,92],[331,198,110,80,103,124,147],[370,213,278,234,73,98,121],[311,54,70,107,88,109,146],[247,16,217,40,114,129,116],[372,23,325,87,183,177,97]]
e=D.Draw(i)
for x in range(0,len(K)):
    x=K[x]
    e.rectangle((x[0],x[1],x[2],x[3]),(x[4],x[5],x[6]))
i=i.filter(F.GaussianBlur(radius=4))
i.save('2.png')