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Image Quantisation
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| import numpy as np | |
| from PIL import Image | |
| IMG_PATH = "./assets/water.jpeg" | |
| def quantise(pixelList, width, height): | |
| pixels = np.array([(q(r), q(g), q(b)) for r, g, b in pixelList], dtype=np.uint8) | |
| return pixels.reshape([height, width, 3]) | |
| def q(val): | |
| remainder = val % 43 | |
| quotient = val // 43 | |
| return ( | |
| quotient * 43 if remainder < 43 // 2 or quotient == 5 else (quotient + 1) * 43 | |
| ) | |
| def main(): | |
| img = Image.open(IMG_PATH) | |
| quantised_pixels = quantise(list(img.getdata()), img.width, img.height) | |
| quantised_img = Image.fromarray(quantised_pixels, mode="RGB") | |
| quantised_img.save("result.png") | |
| if __name__ == "__main__": | |
| main() |
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