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New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter
Joint Authors
Zhao, Xi-le
Huang, Ting-Zhu
Ma, Tian-Hui
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-28
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
We consider simultaneously estimating the restored image and the spatially dependent regularization parameter which mutually benefit from each other.
Based on this idea, we refresh two well-known image denoising models: the LLT model proposed by Lysaker et al.
(2003) and the hybrid model proposed by Li et al.
(2007).
The resulting models have the advantage of better preserving image regions containing textures and fine details while still sufficiently smoothing homogeneous features.
To efficiently solve the proposed models, we consider an alternating minimization scheme to resolve the original nonconvex problem into two strictly convex ones.
Preliminary convergence properties are also presented.
Numerical experiments are reported to demonstrate the effectiveness of the proposed models and the efficiency of our numerical scheme.
American Psychological Association (APA)
Ma, Tian-Hui& Huang, Ting-Zhu& Zhao, Xi-le. 2013. New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-493993
Modern Language Association (MLA)
Ma, Tian-Hui…[et al.]. New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter. Abstract and Applied Analysis No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-493993
American Medical Association (AMA)
Ma, Tian-Hui& Huang, Ting-Zhu& Zhao, Xi-le. New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-493993
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493993