A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal
Joint Authors
Wu, Boying
Dong, Gang
Guo, Zhichang
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-06
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
This paper focuses on the problem of multiplicative noise removal.
Using a gray level indicator, we derive a new functional which consists of the adaptive total variation term and the global convex fidelity term.
We prove the existence, uniqueness, and comparison principle of the minimizer for the variational problem.
The existence, uniqueness, and long-time behavior of the associated evolution equation are established.
Finally, experimental results illustrate the effectiveness of the model in multiplicative noise reduction.
Different from the other methods, the parameters in the proposed algorithms are found dynamically.
American Psychological Association (APA)
Dong, Gang& Guo, Zhichang& Wu, Boying. 2013. A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-21.
https://search.emarefa.net/detail/BIM-507482
Modern Language Association (MLA)
Dong, Gang…[et al.]. A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal. Abstract and Applied Analysis No. 2013 (2013), pp.1-21.
https://search.emarefa.net/detail/BIM-507482
American Medical Association (AMA)
Dong, Gang& Guo, Zhichang& Wu, Boying. A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-21.
https://search.emarefa.net/detail/BIM-507482
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507482