Compressed sensing video processing based on stagewise weak selection and backtracking

Zhemin Zhuang; Fenlan Li; Ye Yuan

doi:10.1117/12.2265464

23 January 2017 Compressed sensing video processing based on stagewise weak selection and backtracking

Zhemin Zhuang, Fenlan Li, Ye Yuan

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 1032217 (2017) https://doi.org/10.1117/12.2265464
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

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.

Citation Download Citation

Zhemin Zhuang, Fenlan Li, and Ye Yuan "Compressed sensing video processing based on stagewise weak selection and backtracking", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 1032217 (23 January 2017); https://doi.org/10.1117/12.2265464

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