Block Compressive Sensing of Images Using l_p Norm Minimization

2015 IEEE International Conference on Signal Processing, Communications and Computing(ICSPCC 2015)——To improve the quality of the reconstructed images and reduce the computation time, we combine the penalty function method with revised Hesse sequence quadratic programming in the lp norm minimization.

关键词: lp norm minimization algorithm;block compressive sensing;computation time

主讲人:Prof. Fangli Ning 机构:Northwestern Polytechnical University, China

时长:0:19:47 年代:2015年