H.264/AVC下改进的小十字菱形搜索运动估计算法

Karam Singh, S. Ahamed
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引用次数: 7

摘要

运动估计是现有视频编码标准中最重要、最复杂的部分之一。在H.264/AVC视频编码标准中,由于块大小的变化和四分之一像素的精度,使得编码过程更加复杂。本文针对H.264/AVC视频编码标准,提出了一种改进的小交叉菱形搜索(MSCDS)运动估计算法。该算法减少了检查点的数量,从而使运动估计过程更快。此外,MSCDS算法适用于平稳、准平稳和快速运动的视频序列,并且从硬件角度来看计算复杂度较低。仿真结果表明,该算法只需很少的搜索点即可找到最匹配的块,视频质量损失几乎可以忽略不计。与现有最快的ME算法相比,本文算法的搜索点数量减少了9.02%,PSNR损失为0.007 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified small-cross diamond search motion estimation algorithm for H.264/AVC
Motion estimation (ME) is one of the most important and complex block of all the existing video coding standards. In H.264/AVC video coding standard ME process is much more complex due to variable block size with quarter pixel accuracy. In this paper, we proposed a modified small-cross diamond search (MSCDS) motion estimation algorithm for H.264/AVC video coding standard. The proposed algorithm reduces the number of checking points and thereby makes the motion estimation process faster. Moreover, the MSCDS algorithm is suitable for stationary, quasi-stationary and fast moving video sequences and computationally less complex from hardware point of view. Simulation results show that the proposed algorithm requires very few number of search points for finding the best matched block with almost negligible loss in video quality. As compared to the fastest existing ME algorithm, proposed algorithm requires 9.02% less number of search points with 0.007 dB loss in PSNR.
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