An Alternating Direction Method for Mixed Gaussian Plus Impulse Noise Removal
Joint Authors
Liu, Jun
Wang, Si
Zhao, Xi-le
Huang, Ting-Zhu
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A combined total variation and high-order total variation model is proposed to restore blurred images corrupted by impulse noise or mixed Gaussian plus impulse noise.
We attack the proposed scheme with an alternating direction method of multipliers (ADMM).
Numerical experiments demonstrate the efficiency of the proposed method and the performance of the proposed method is competitive with the existing state-of-the-art methods.
American Psychological Association (APA)
Wang, Si& Huang, Ting-Zhu& Zhao, Xi-le& Liu, Jun. 2013. An Alternating Direction Method for Mixed Gaussian Plus Impulse Noise Removal. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-503204
Modern Language Association (MLA)
Wang, Si…[et al.]. An Alternating Direction Method for Mixed Gaussian Plus Impulse Noise Removal. Abstract and Applied Analysis No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-503204
American Medical Association (AMA)
Wang, Si& Huang, Ting-Zhu& Zhao, Xi-le& Liu, Jun. An Alternating Direction Method for Mixed Gaussian Plus Impulse Noise Removal. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-503204
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-503204
