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

Civil Engineering

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