Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《电子学报(英文)》 2018-05
Add to Favorite Get Latest Update

Interweaving Permutation Meets Block Compressed Sensing

ZHANG Bo;LIU Yulin;JING Xiaojun;ZHUANG Jie;WANG Kai;Communication NCO Academy,Army Engineering University;Beijing University of Posts and Telecommunications;University of Electronic Science and Technology of China;  
Traditional Block compressed sensing(BCS) schemes encode nature images via a fixed sampling rate without taking the sparsity level differences among the blocks into consideration. In order to improve the sampling efficiency, a permutation-based BCS scheme with separate reconstruction is considered in this paper. The error performance bound of BCS scheme is carefully analyzed, and it is revealed that the smaller the maximum block sparsity level of the 2D signal is, the better reconstruction performance the algorithm has. According to the theoretical analysis result, an interweaving-permutationbased BCS strategy is investigated. In the proposed approach, the maximum block sparsity level of the 2D signal can be reduced significantly by interweaving permutation. As a result, better reconstruction performance can be achieved. Simulation results show that the proposed approach improves the Peak signal-to-noise ratio(PSNR)of reconstructed-images significantly.
【Fund】: supported by the Program for New Century Excellent Talents in University of China(No.NCET-11-0873);; the Key Project of Chongqing Natural Science Foundation(No.CSTC2011BA2016);; the Program for Fundamental and Advanced Research of Chongqing(No.cstc2013jcyj A40045)
【CateGory Index】: TN911.7
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved