Weighted Nuclear Norm Minimization with Application to Image Denoising

As a convex relaxation of the low rank matrix factorization problem, the nuclear norm minimization has been attracting significant research interest in recent years. The standard nuclear norm minimization regularizes each singular value equally to pursue the convexity of the objective function. Howe...

Full description

Bibliographic Details

Published in:	2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 2862 - 2869
Main Authors:	Gu, Shuhang, Zhang, Lei, Zuo, Wangmeng, Feng, Xiangchu
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2014
Subjects:	Algorithms Approximation algorithms Approximation methods Computer vision Image denoising Mathematical models Minimization Noise reduction Norms Optimization Pattern recognition Vectors
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!