A New Fast Algorithm for Constrained Four-Directional Total Variation Image Denoising Problem
Joint Authors
Coatrieux, Jean Louis
Shu, Huazhong
Wu, Jiasong
Liao, Fan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A new four-directional total variation (4-TV) model, applicable to isotropic and anisotropic TV functions, is proposed for image denoising.
A dual based fast gradient projection algorithm for the constrained 4-TV image denoising problem is also reported which combines the well-known gradient projection and the fast gradient projection methods.
Experimental results show that this model provides in most cases a better signal to noise ratio when compared to previous models like the reference TV, the total generalized variation, and the nonlocal total variation.
American Psychological Association (APA)
Liao, Fan& Coatrieux, Jean Louis& Wu, Jiasong& Shu, Huazhong. 2015. A New Fast Algorithm for Constrained Four-Directional Total Variation Image Denoising Problem. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074798
Modern Language Association (MLA)
Liao, Fan…[et al.]. A New Fast Algorithm for Constrained Four-Directional Total Variation Image Denoising Problem. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074798
American Medical Association (AMA)
Liao, Fan& Coatrieux, Jean Louis& Wu, Jiasong& Shu, Huazhong. A New Fast Algorithm for Constrained Four-Directional Total Variation Image Denoising Problem. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074798