Image Denoising via L 0 Gradient Minimization with Effective Fidelity Term
Joint Authors
Zhang, Wenxue
Li, Lingling
Wen, Yunlei
Cao, Yongzhen
Zhang, Rong Xin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The L 0 gradient minimization (LGM) method has been proposed for image smoothing very recently.
As an improvement of the total variation (TV) model which employs the L 1 norm of the gradient, the LGM model yields much better results for the piecewise constant image.
However, just as the TV model, the LGM model also suffers, even more seriously, from the staircasing effect and the inefficiency in preserving the texture in image.
In order to overcome these drawbacks, in this paper, we propose to introduce an effective fidelity term into the LGM model.
The fidelity term is an exemplar of the moving least square method using steering kernel.
Under this framework, these two methods benefit from each other and can produce better results.
Experimental results show that the proposed scheme is promising as compared with the state-of-the-art methods.
American Psychological Association (APA)
Zhang, Wenxue& Cao, Yongzhen& Zhang, Rong Xin& Li, Lingling& Wen, Yunlei. 2015. Image Denoising via L 0 Gradient Minimization with Effective Fidelity Term. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074544
Modern Language Association (MLA)
Zhang, Wenxue…[et al.]. Image Denoising via L 0 Gradient Minimization with Effective Fidelity Term. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074544
American Medical Association (AMA)
Zhang, Wenxue& Cao, Yongzhen& Zhang, Rong Xin& Li, Lingling& Wen, Yunlei. Image Denoising via L 0 Gradient Minimization with Effective Fidelity Term. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074544
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074544