A Low-complexity Video Coding Scheme Based on Compressive Sensing
Traditional video coding method is able to achieve wonderful performance in data compressing. However, it has high complexity, which is not suitable for some environments where low complexity coding is needed. A new method of video coding which is based on compressive sensing is proposed. In this system, the sparsity of residual of successive frames is exploited, which is a crucial requirement in CS theory. This method encodes video frames in a fast and low-complexity way, while the compressive rate of data remains low. The reconstruction of original video frame, as well as the PSNR-rate curve under this framework, is given.
compressive sensing video coding sparsity
Yantian Hou Feng Liu
School of Electronic and Information Engineering Beihang University Beijing, China
国际会议
杭州
英文
706-709
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）