标题:De-blurring wireless capsule endoscopy images by total variation minimization
作者:Liu, Haiying ;Lu, W.-S. ;Meng, Max Q.-H.
通讯作者:Liu, H
作者机构:[Liu, Haiying ;Meng, Max Q.-H. ] School of Control Science and Engineering, Shandong University, Jinan, China;[Liu, Haiying ;Lu, W.-S. ] Dept. of Elec 更多
会议名称:13th IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM 2011
会议日期:23 August 2011 through 26 August 2011
来源:IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings
出版年:2011
页码:102-106
DOI:10.1109/PACRIM.2011.6032875
摘要:Wireless capsule endoscopy (WCE) finds wide applications in diagnosing diseases in human intestine on account of its convenience and non-invasiveness to the patients. Due to complicated environment of the intestine and intrinsic restrictions of the equipment in terms of image acquisition and transmission, however, raw WCE images are often corrupted by noise and degraded by within-channel or cross-channel blurs. In this paper, we present a total variation (TV) minimization framework for deblurring within-channel blurs for color WCE images. Specifically, the monotone fast iterative shrinkage/ thresholding technique combined with the fast gradient projection algorithm, proposed recently by Beck and Teboulle, is extended to deal with multichannel images. In addition, the proposed algorithm is enhanced by incorporating a bisection technique to effectively identify a near optimal value for the regularization parameter of the TV-Frobenius objective function. Experimental results are presented to demonstrate the performance of the proposed algorithm. © 2011 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:6
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054742141&doi=10.1109%2fPACRIM.2011.6032875&partnerID=40&md5=2cc0e9bc5993c692ce985c2f9ae25532
TOP