Title :
A structured AMP method recovering signals with a forward-backward splitting mode
Author :
Zhonghua Xie; Lihong Ma; Xiangzhou Zeng
Author_Institution :
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China 510641
Abstract :
D-AMP (Denoising-based Approximate Message Passing) method usually offers an efficient recovery in image Compressive Sensing (CS). To apply D-AMP in structured signals, we focus on a forward-backward splitting mode [5] and have to deal with signal bias in the backward shrinkage step. For deviation calibrating and better adaptation to structure clustering, we modify the BM3D (Block-matching and 3D filtering) based D-AMP method (named as BM3D-AMP) in two folds: 1) Iteratively optimize a data-fidelity term with total variation (TV) and wavelet sparse constraints, aiming to diminish the bias resulted from the splitting operation. 2) Suggest a more accurate initial-state estimation by using a sparse tree and finally accelerate the CS reconstruction. Experimental results show that the proposed algorithm averagely achieves higher PSNR values than the BM3D-AMP algorithm.
Keywords :
"Noise reduction","TV","Image reconstruction","Compressed sensing","Imaging","Signal processing algorithms","Optimization"
Conference_Titel :
TENCON 2015 - 2015 IEEE Region 10 Conference
Print_ISBN :
978-1-4799-8639-2
Electronic_ISBN :
2159-3450
DOI :
10.1109/TENCON.2015.7372821