一种视频分布式压缩感知技术的相关性模型与实现算法

摘要

视频采集和重构需要进行大量的数据处理，且精度有限。为此，基于基追踪（Basis Pursuit，BP）原理，提出一种新的相关性模型视频分布式压缩感知算法。通过运用稀疏滤波器进行相关性建模，该算法在编译码端为分布式压缩视频感知建立了完整的实现结构，并且在保证高质量重建原始信号的前提下，可以减少测量值的数目。实验结果验证了提出模型下算法的有效性。%Video sampling and reconstruction need to process a huge amount of data.In order to solve the problem,a novel video distributed compressive sensing based-BP (VDCS-BP)is proposed in the pa-per.Based on correlation model established by sparse filter,VDCS-BP can achieve distributed video sensing at encoder-decoder,and reduce numbers of measurement by DCS.Experimental results show that the VDCS-BP is effective.