Distributed video coding based on compressive sensing and intra-predictive coding

Compressive sensing is attractive for distributed video coding with respect to two issues: low-complexity encoding and data reduction in transmission. This paper proposes a novel compressive sensing-based distributed video coding system based on a combination of intra-predictive coding and Wyner-Ziv coding. Experimental results show that the data volume required for transmission in the proposed method is less than one tenth of that in the conventional distributed compressive video sensing (DCVS), while their visual qualities are competitive. The visual quality of the decoded video was evaluated in terms of temporal information, PSNR, SSIM and visual inspections.

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