Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity

IEEE Transactions on Circuits and Systems for Video Technology(2017)

引用 110|浏览75
暂无评分
摘要
The compressive sensing (CS) theory indicates that robust reconstruction of signals can be obtained from far fewer measurements than those required by the Nyquist-Shannon theorem. Thus, CS has great potential in video acquisition and processing, considering that it makes the subsequent complex data compression unnecessary. In this paper, we propose a novel algorithm for effectively reconstructing ...
更多
查看译文
关键词
Image reconstruction,Correlation,Compressed sensing,Minimization,Transforms,Prediction algorithms,Sensors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要