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Feature difference classification method in fractal image coding

机译:分形图像编码中的特征差异分类方法

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摘要

In this paper, we present a classification algorithm in fractal image coding. Based on the contraction characteristics of transformations in fractal image coding, the algorithm uses the notion of feature difference to speed up the domain-range matching routine of the coding. The algorithm can effectively exclude pseudo matches during the process of domain-range matching and result in significant improvement of the rate-distortion performance. It can also be easily realized in cooperation with many other speedup schemes.
机译:在本文中,我们提出了一种在分形图像编码中的分类算法。基于分形图像编码中变换的收缩特性,该算法使用特征差异的概念来加快编码的域范围匹配例程。该算法可以在域范围匹配的过程中有效地排除伪匹配,从而大大提高了速率失真性能。与许多其他加速方案配合使用也可以轻松实现。

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