基于块的多亚像素运动估计在多块大小下性能比较的实证研究

D. Kesrarat, V. Patanavijit
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引用次数: 4

摘要

本文介绍了亚像素位移和块/窗口大小对运动估计性能的影响(亚像素位移(SPD)的3个不同级别(1,0.5和0.25)和2个不同的块/窗口大小(8×8/16×16和16×16/32×32))。我们的实证研究集中在全搜索(FS)、一种新的四步搜索算法(NFSS)、基于块的梯度下降搜索算法(BBGDS)、一种新的菱形搜索算法(DS)和六边形搜索算法(HS)。峰值信噪比(PSNR)是我们性能比较结果的参考指标。实验结果在AKIYO、COASTGUARD、CONTAINER、FOREMAN等具有不同前景和背景运动特征的标准序列上进行了综合测试和总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical Study on Performance Comparisons of Block-Based Motion Estimation on Multi Sub-Pixel Displacement with Multiples Block Size
This paper presents the impact of sub-pixel displacement and block/windows size on the motion estimation performance (3 different levels (1, 0.5, and 0.25) for sub-pixel displacement (SPD) and 2 different block/windows size (8×8/16×16 and 16×16/32×32)). Our empirical study concentrates on full search (FS), a novel four-step search algorithm (NFSS), a block-based gradient descent search algorithm (BBGDS), a new diamond search algorithm (DS) and hexagon search algorithm (HS). Peak Signal to Noise Ratio (PSNR) is referenced as the indicator on our performance comparison results. These experiment results are comprehensively tested and conclude on several standard sequences such as AKIYO, COASTGUARD, CONTAINER, and FOREMAN that have different foreground and background movement characteristic.
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