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Compressed sensing video processing based on stagewise weak selection and backtracking

机译:基于阶段性弱选择和回溯的压缩感知视频处理

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The widespread use of mobile video raises higher requirements for video coding. As video coding can be seen as a Simultaneous Sparse Approximation (SSA) problem, a novel algorithm called Backtracking Simultaneous Stagewise Orthogonal Matching Pursuit (BSStOMP) is proposed in the paper. The algorithm can obtain multiple atoms with highly comprehensive correlation at each iteration through simultaneous stagewise weak selection. Moreover, in order to improve recovery quality, local backtracking strategy is employed to optimize the selected atoms. The experiments results verified the effectiveness and practicality of our algorithm.
机译:移动视频的广泛使用对视频编码提出了更高的要求。由于视频编码可以看作是同时稀疏近似(SSA)问题,因此本文提出了一种新的算法,即回溯同步逐阶段正交匹配追踪(BSStOMP)。通过同时进行阶段性弱选择,该算法可以在每次迭代中获得具有高度综合相关性的多个原子。此外,为了提高回收质量,采用局部回溯策略来优化所选原子。实验结果证明了该算法的有效性和实用性。

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