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Compressed sensing image reconstruction based on two-step iterative shrinkage and complex wavelet
363 Comments · Posted by gugemobile in Compressive Sensing 1,977 views
This paper was published in July 2009 on “Chinese Journal of Scientific Instument”. The authors are Lian Qiusheng, Gao Yangyan, Chen Shuzhen(Institute of Information Science and Technology, Yanshan University, Qinhuangdao 066004, China).
Abstract is below:
“Compressed sening system can reconstruct original image from fewer measurements using sparse priors of the image. In current compressed sensing literature,people always use orthogonal wavelet with three directions to represent the image, and use iterative shrinkage to solve the optimization problem. However, traditional reconstruction algorithm suffers from lower convergence rate and pseudo-Gibbs effect in the reconstructed image. Aiming at this problem, this paper presents an image reconstruction algorithm based on sparse representation of the image in dual-tree complex wavelet transform domain and two-step iterative shrinkage, which uses two previous estimations to obtain a new one. The results of experiments show that the reconstructed image has better vision quality and the convergence rate is faster than that of conventional reconstrucion algorithm“.
Comments are welcome!
363 comments
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