Computer Science ›› 2017, Vol. 44 ›› Issue (6): 317-321.doi: 10.11896/j.issn.1002-137X.2017.06.056

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Video Distributed Compressive Sensing Research Based on Multihypothesis Predictions and Residual Reconstruction

ZHAO Hui-min, PEI Zhen-zhen, CAI Zheng-ye, WANG Chen, DAI Qing-yun and WEI Wen-guo   

  • Online:2018-11-13 Published:2018-11-13

Abstract: For a low-cost and low-power demand,distributed compressed sensing (DCS),an emerging framework for signal processing,can be used in video application,especially when available resource at the transmitter side are limited.Therefore,a novel video DCS(VDCS) scheme was proposed in this paper,where multihypothesis(MH) predictions of the current CS frame are generated from one or more previously reconstructed CS frame.Meanwhile at decoder side,the predictions are utilized as a residual signal to improve reconstructed video quality.Experimental results demonstrate that PSNR performances of the proposed VDCS scheme outperforms other methods,such as MH-BCS-SPL and traditional JSM-DCS.

Key words: Distributed compressive sensing,Video,Residual,Prediction,Recovery

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