Image Coding Using Nonlinear Evolutionary Transforms

Seishi Takamura, A. Shimizu
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引用次数: 2

Abstract

Transform is one of the most important tools for image/video coding technology. In this paper, novel nonlinear transform generation based on genetic programming is proposed and implemented into H.264/AVC and HEVC reference software to enhance coding performance. The transform procedure itself is coded and transmitted. Despite this overhead, 0.590% (vs. JM18.0) and 1.711% (vs. HM5.0) coding gain was observed in our preliminary experiment.
基于非线性进化变换的图像编码
Transform是图像/视频编码技术中最重要的工具之一。本文提出了一种基于遗传规划的非线性变换生成方法,并将其应用于H.264/AVC和HEVC参考软件中,以提高编码性能。转换过程本身被编码并传输。尽管有这种开销,在我们的初步实验中观察到0.590%(相对于JM18.0)和1.711%(相对于HM5.0)的编码增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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