L1-norm minimization in pixel recovery for H.264 video transmission

Ting-Lan Lin, Chang-Yi Fan, Gui-Xiang Huang, Wen-Chih Chen
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Abstract

We consider an application of sparse optimization in the error concealment area. State-of-the-art spatial and temporal error concealment method is improved and compared. By solving for limited numbers of significant predictors using the sparse optimization, our algorithm performs subjectively and objective better for the concealed result.
H.264视频传输中像素恢复的l1范数最小化
我们考虑稀疏优化在错误隐藏领域的应用。对最先进的时空误差隐藏方法进行了改进和比较。通过对有限数量的重要预测因子进行稀疏优化求解,该算法在主观上和客观上对隐藏结果都有更好的表现。
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