Proximal alternating minimization method for adaptive TGV-based image restoration-Reference-Cited by-同舟云学术

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Proximal alternating minimization method for adaptive TGV-based image restoration

Published:2020-11-26 Issue:7 Volume:80 Page:10601-10614
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Liu Xinwu^ORCID

Funder

National Natural Science Foundation of China

Scientific Research Fund of Hunan Provincial Education Department

Hunan Provincial Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-020-09561-7.pdf

Reference43 articles.

1. Adam T, Paramesran R (2019) Image denoising using combined higher order non-convex total variation with overlapping group sparsity. Multidim Syst Sign Process 30(1):503–527

2. Alsmirat MA, Al-Alem F, Al-Ayyoub M, Jararweh Y, Gupta B (2019) Impact of digital fingerprint image quality on the fingerprint recognition accuracy. Multimed Tools Appl 78(3):3649–3688

3. Babacan SD, Molina R, Katsaggelos AK (2008) Parameter estimation in TV image restoration using variational distribution approximation. IEEE Trans Image Process 17(3):326–339

4. Babacan SD, Molina R, Katsaggelos AK (2009) Variational Bayesian blind deconvolution using a total variation prior. IEEE Trans Image Process 18 (1):12–26

5. Bauschke HH, Combettes PL (2011) Convex analysis and monotone operator theory in Hilbert space. Springer, New York

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