【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。更多还原

【Abstract】 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 paper. 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.更多还原