Local intensity compensation using sparse representation
Local intensity compensation using sparse representation
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发表时间：
2012-11
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通讯作者：
Koji Inoue;Hironobu Saito;Y. Kuroki
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作者：
Koji Inoue;Hironobu Saito;Y. Kuroki
提出了一种基于稀疏表示的视频编码运动补偿方法。被称为HEVC（高效视频编码）的新一代视频压缩技术提出了一种称为局部强度补偿的新颖运动补偿。局部强度补偿通过一些参考块的线性组合来表示当前块。在这项研究中，线性组合的权重系数计算稀疏表示。稀疏表示能够获得许多零系数，因此当前块可以由少量有意义的参考块表示。实验结果表明，稀疏表示提高了局部强度补偿的质量。
This paper proposes a motion compensation method using sparse representation for video coding technique. A new generation video compression technology known as the HEVC (High Efficiency Video Coding) suggests a novel motion compensation called local intensity compensation. Local intensity compensation represents a current block by a linear combination of some reference blocks. In this study, the weight coefficients of the linear combination are calculated by sparse representation. Sparse representation is able to obtain many zero coefficients, thus the current block can be represented by a few and meaningful reference blocks. The experimental observations demonstrate that the quality of local intensity compensation increases by sparse representation.