Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm

In this article, the problem of impulse noise image restoration is investigated. A typical way to eliminate impulse noise is to use an <inline-formula> <tex-math notation="LaTeX">L_{1} </tex-math></inline-formula> norm data fitting term and a total variation (TV) re...

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Bibliographic Details

Published in:	IEEE transactions on cybernetics Vol. 54; no. 4; pp. 2257 - 2270
Main Authors:	Zhang, Benxin, Zhu, Guopu, Zhu, Zhibin, Zhang, Hongli, Zhou, Yicong, Kwong, Sam
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Convex analysis Convex functions Convexity Data models Difference of convex functions algorithm (DCA) Image edge detection Image restoration impulse noise Mathematical models Noise measurement nonconvex optimization model Regularization Staircases
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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