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Speckle Noise Reduction via Nonconvex High Total Variation Approach
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We address the problem of speckle noise removal.
The classical total variation is extensively used in this field to solve such problem, but this method suffers from the staircase-like artifacts and the loss of image details.
In order to resolve these problems, a nonconvex total generalized variation (TGV) regularization is used to preserve both edges and details of the images.
The TGV regularization which is able to remove the staircase effect has strong theoretical guarantee by means of its high order smooth feature.
Our method combines the merits of both the TGV method and the nonconvex variational method and avoids their main drawbacks.
Furthermore, we develop an efficient algorithm for solving the nonconvex TGV-based optimization problem.
We experimentally demonstrate the excellent performance of the technique, both visually and quantitatively.
American Psychological Association (APA)
Wu, Yulian& Feng, Xiang-Chu. 2015. Speckle Noise Reduction via Nonconvex High Total Variation Approach. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074323
Modern Language Association (MLA)
Wu, Yulian& Feng, Xiang-Chu. Speckle Noise Reduction via Nonconvex High Total Variation Approach. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074323
American Medical Association (AMA)
Wu, Yulian& Feng, Xiang-Chu. Speckle Noise Reduction via Nonconvex High Total Variation Approach. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074323
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074323