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A genetic algorithm for noisy channel color quantization design

机译:噪声通道色彩量化设计的遗传算法

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We propose a genetic algorithm for the design of palettes for the color quantization of images in applications of compression and transmission through noisy channels. Our algorithm includes specific genetic operators and a noisy channel version of the widespread generalized Lloyd algorithm (GLA) to optimise the search. Besides it operates in the YUV space using a weighted distortion measure adequate to the characteristics of eye perception. Simulation tests proved the benefit of our approach compared to previous methods either in computational requirements or in the quality of the quantized images.
机译:我们提出了一种遗传算法,用于设计调色板,以便在通过噪声通道进行压缩和传输的应用中对图像进行颜色量化。我们的算法包括特定的遗传算子和广泛的广义Lloyd算法(GLA)的嘈杂通道版本,以优化搜索。此外,它还使用足以适应眼睛感知特征的加权失真度量,在YUV空间中运行。仿真测试证明,与以前的方法相比,我们的方法在计算要求或量化图像质量方面都具有优势。

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