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...

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Veröffentlicht in:	2014 IEEE Conference on Computer Vision and Pattern Recognition S. 2862 - 2869
Hauptverfasser:	Gu, Shuhang, Zhang, Lei, Zuo, Wangmeng, Feng, Xiangchu
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2014
Schlagworte:	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-Zugang:	Volltext
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