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  1. 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 np
    from PIL import Image

    class ArithmeticCoding:
    def __init__(self, image_path):
    self.image = Image.open(image_path).convert('L')
    self.width, self.height = self.image.size
    self.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, 1.0
    for pixel in self.pixels:
    range_ = high - low
    high = 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) / 2

    def decode(self, encoded_value):
    decoded_pixels = []
    low, high = 0.0, 1.0
    for _ in range(len(self.pixels)):
    range_ = high - low
    value = 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.
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    Codevoorbeeld

    const fs = require("fs");
    let data = fs.readFileSync('Cat.png', 'binary');
    fs.writeFileSync('Cat_Copy.png', data, 'binary');
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