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Arithmetic coding is a form of entropy encoding used in lossless data compression. Below is a Python implementation for compressing an image using arithmetic coding.
Example
import numpy as npfrom PIL import Imageclass ArithmeticCoding:def __init__(self, image_path):self.image = Image.open(image_path).convert('L')self.width, self.height = self.image.sizeself.pixels = np.array(self.image).flatten()self.probabilities = self.calculate_probabilities()def calculate_probabilities(self):values, counts = np.unique(self.pixels, return_counts=True)probabilities = counts / len(self.pixels)return dict(zip(values, probabilities))def encode(self):low, high = 0.0, 1.0for pixel in self.pixels:range_ = high - lowhigh = low + range_ * sum(self.probabilities[val] for val in self.probabilities if val <= pixel)low = low + range_ * sum(self.probabilities[val] for val in self.probabilities if val < pixel)return (low + high) / 2def decode(self, encoded_value):decoded_pixels = []low, high = 0.0, 1.0for _ in range(len(self.pixels)):range_ = high - lowvalue = next(val for val in self.probabilities if low + range_ * sum(self.probabilities[v] for v in self.probabilities if v <= val) > encoded_value)decoded_pixels.append(value)high = low + range_ * sum(self.probabilities[val] for val in self.probabilities if val <= value)low = low + range_ * sum(self.probabilities[val] for val in self.probabilities if val < value)return np.array(decoded_pixels).reshape((self.height, self.width))if __name__ == "__main__":ac = ArithmeticCoding("image.png")encoded_value = ac.encode()decoded_image_array = ac.decode(encoded_value)decoded_image = Image.fromarray(decoded_image_array.astype('uint8'))decoded_image.save("decoded_image.png")Gekopieerd.✕Kopiëren Image Compression with Arithmetic Coding - GitHub
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Codevoorbeeld
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