An Effective Weighted Hybrid Regularizing Approach for Image Noise Reduction-Reference-Cited by-同舟云学术

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An Effective Weighted Hybrid Regularizing Approach for Image Noise Reduction

Published:2018-05-30 Issue:1 Volume:38 Page:218-241
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Islam Md. Robiul,Xu Chen,Raza Rana Aamir,Han Yu

Funder

National Natural Science Foundation of China

Foundation for Distinguished Young Talents in Higher Education of Guangdong, China

Natural Science Foundation of Foundation of Guangdong, China

Science Foundation of Shenzhen Science Technology and Innovation Commission, China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/article/10.1007/s00034-018-0853-1/fulltext.html

Reference78 articles.

1. A. Aboshosha, M. Hassan, M. Ashour, M. El Mashade, Image denoising based on spatial filters, an analytical study, in 2009 International Conference on Computer Engineering & Systems (IEEE, 2009), pp. 245–250

2. H. Al-Marzouqi, G. AlRegib, Curvelet transform with learning-based tiling. Signal Process. Image Commun. 53, 24–39 (2017)

3. G. Aubert, P. Kornprobst, Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Springer, Berlin, 2006)

4. G. Aubert, L. Vese, A variational method in image recovery. SIAM J. Numer. Anal. 34(5), 1948–1979 (1997)

5. G. Baloch, H. Ozkaramanli, Image denoising via correlation-based sparse representation. Signal Image Video Process. 11, 1501–1508 (2017)

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