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电子稳像的实时鲁棒性算法 被引量:1
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作者 金明 薛斌 彭定明 《兵工自动化》 2007年第7期48-48,59,共2页
电子稳像的实时鲁棒性算法,首先对采集到的每帧图像建立高斯金字塔。然后在高斯金字塔的顶层进行初估计,采用图像块法得到整像素的运动估计矢量。精估计采用光流梯度法。为提高鲁棒性,运用简化的M收敛法进行梯度约束。最后阶段采用双线... 电子稳像的实时鲁棒性算法,首先对采集到的每帧图像建立高斯金字塔。然后在高斯金字塔的顶层进行初估计,采用图像块法得到整像素的运动估计矢量。精估计采用光流梯度法。为提高鲁棒性,运用简化的M收敛法进行梯度约束。最后阶段采用双线性内插对当前帧与参考帧进行匹准。经测试,该算法效果较好,也能实时运行。 展开更多
关键词 电子稳像 实时鲁棒性算 高斯金字塔 图像块法 光流梯度 简化M收敛
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Accelerating SAGE algorithm in PET image reconstruction by rescaled block-iterative method 被引量:1
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作者 朱宏擎 舒华忠 +1 位作者 周健 罗立民 《Journal of Southeast University(English Edition)》 EI CAS 2005年第2期207-210,共4页
A new method to accelerate the convergent rate of the space-alternatinggeneralized expectation-maximization (SAGE) algorithm is proposed. The new rescaled block-iterativeSAGE (RBI-SAGE) algorithm combines the RBI algo... A new method to accelerate the convergent rate of the space-alternatinggeneralized expectation-maximization (SAGE) algorithm is proposed. The new rescaled block-iterativeSAGE (RBI-SAGE) algorithm combines the RBI algorithm with the SAGE algorithm for PET imagereconstruction. In the new approach, the projection data is partitioned into disjoint blocks; eachiteration step involves only one of these blocks. SAGE updates the parameters sequentially in eachblock. In experiments, the RBI-SAGE algorithm and classical SAGE algorithm are compared in theapplication on positron emission tomography (PET) image reconstruction. Simulation results show thatRBI-SAGE has better performance than SAGE in both convergence and image quality. 展开更多
关键词 positron emission tomography space-alternating generalizedexpectation-maximization image reconstruction rescaled block-iterative maximum likelihood
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Technique of Error Concealment for Block-Based Image Coding Using Genetic Algorithm
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作者 杨守义 罗伟雄 《Journal of Beijing Institute of Technology》 EI CAS 2002年第2期164-168,共5页
Since real world communication channels are not error free, the coded data transmitted on them may be corrupted, and block based image coding systems are vulnerable to transmission impairment. So the best neighborh... Since real world communication channels are not error free, the coded data transmitted on them may be corrupted, and block based image coding systems are vulnerable to transmission impairment. So the best neighborhood match method using genetic algorithm is used to conceal the error blocks. Experimental results show that the searching space can be greatly reduced by using genetic algorithm compared with exhaustive searching method, and good image quality is achieved. The peak signal noise ratios(PSNRs) of the restored images are increased greatly. 展开更多
关键词 block based image coding genetic algorithm error concealment
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Video Image Block-matching Motion Estimation Algorithm Based on Two-step Search
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作者 金伟其 陈艳 +4 位作者 王岭雪 刘斌 刘崇亮 沈亚中 张桂清 《Journal of Measurement Science and Instrumentation》 CAS 2010年第3期228-232,共5页
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 ... 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. 展开更多
关键词 BLOCK-MATCHING rnation estimation two-step search
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