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Video Image Block-matching Motion Estimation Algorithm Based on Two-step Search

Video Image Block-matching Motion Estimation Algorithm Based on Two-step Search
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摘要 Aiming at the shortcoming that certain existing blockingmatching algorithrns, such as full search, three-step search, and dia- mond search algorithms, usually can not keep a good balance between high acoaracy and low computational complexity, a block-maching motion estimation algorithm based on two-step search is proposed in this paper. According to the fact that the gray values of adjacent pixels will not vary fast, the algorithm employs an interlaced search pattem in the search window to estimate the motion vector of the objectblock. Simulation and actual experiments demanstrate that the proposed algmithm greatly outperforms the well-known three-step search and dianond search algoritlam, no matter the motion vector is large or small. Comparedc with the full search algorithm, the proposed one achieves similar peffomance but requires much less computation, therefore, the algorithm is well qualified for real-time video image processing.
出处 《Journal of Measurement Science and Instrumentation》 CAS 2010年第3期228-232,共5页 测试科学与仪器(英文版)
基金 supported by the Lab Open Fund of Beijing Microchemical Research Institute(P2008026EB)
关键词 BLOCK-MATCHING rnation estimation two-step search 运动估计算法 全搜索算法 视频图像处理 块匹配 三步搜索 运动矢量 计算复杂性 相邻像素
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