Created
August 30, 2023 22:49
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fix bad nearest-neighbor scaling and re-scale back up
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| """ | |
| * ---------------------------------------------------------------------------- | |
| * "THE BEER-WARE LICENSE" (Revision 42 modified): | |
| * <maple@maple.pet> wrote this file. As long as you retain this notice and | |
| * my credit somewhere you can do whatever you want with this stuff. If we | |
| * meet some day, and you think this stuff is worth it, you can buy me a beer | |
| * in return. | |
| * ---------------------------------------------------------------------------- | |
| """ | |
| from PIL import Image | |
| import sys | |
| THRESHOLD = 3 | |
| RESCALE_FACTOR = 2 | |
| if __name__ == "__main__": | |
| if len(sys.argv) < 2: | |
| print("drag and drop a file into me (or pass filename into commandline, optional second argument for output name)") | |
| sys.exit() | |
| filename, ext = sys.argv[1].split('.') | |
| if len(sys.argv) < 3: | |
| out_filename = f"{filename}-fixed" | |
| else: | |
| out_filename = sys.argv[2] | |
| # lazy dumb programming mess | |
| with Image.open(f"{filename}.{ext}") as im: | |
| px = im.load() | |
| width, height = im.size | |
| newwidth, newheight = width, height | |
| out = Image.new(im.mode, (width, height)) | |
| px_out = out.load() | |
| similar = 0 | |
| last = [] | |
| trueN = 0 | |
| for x in range(width): | |
| col = [px[x, i] for i in range(height)] | |
| if col != last: | |
| for y in range(height): | |
| px_out[trueN, y] = col[y] | |
| trueN += 1 | |
| else: | |
| similar += 1 | |
| if similar > THRESHOLD: | |
| similar = 0 | |
| last = [] | |
| last = col | |
| newwidth = trueN | |
| fix1 = out.copy() | |
| px = fix1.load() | |
| last = [] | |
| trueN = 0 | |
| for y in range(height): | |
| row = [px[i, y] for i in range(width)] | |
| if row != last: | |
| for x in range(width): | |
| px_out[x, trueN] = row[x] | |
| trueN += 1 | |
| else: | |
| similar += 1 | |
| if similar > THRESHOLD: | |
| similar = 0 | |
| last = [] | |
| last = row | |
| newheight = trueN | |
| out = out.crop((0, 0, newwidth, newheight)) | |
| out = out.resize((newwidth * RESCALE_FACTOR, newheight * RESCALE_FACTOR), Image.Resampling.NEAREST) | |
| out.save(f"{out_filename}.{ext}") |
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