A new block-matching algorithm based on an adaptive search area adjustment using spatio-temporal correlation

Choon-Hoon Lee, Hwang-Seok Oh, Heung-Kyu Lee
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Abstract

A new block-matching algorithm based on an adaptive adjustment of search area using spatio-temporal correlation is presented to reduce the computational complexity of the full-search algorithm without significant degradation of video quality. It is shown that the proposed method has good video quality in terms of mean square error and has less complexity than previous works by simulation using various test video sequences.
一种基于时空相关自适应搜索区域调整的块匹配算法
为了在不显著降低视频质量的前提下降低全搜索算法的计算复杂度,提出了一种基于时空相关性自适应调整搜索区域的块匹配算法。通过对各种测试视频序列的仿真,表明该方法在均方误差方面具有良好的视频质量,且复杂度低于以往的方法。
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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