Blind image deblurring by game theory-Reference-Cited by-同舟云学术

Blind image deblurring by game theory

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Networking, Information Systems & Security - NISS19
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Author:

Meskine Driss¹,Moussaid Noureddine²,Berhich Soukaina³

Affiliation:

1. SAED, High School of Technology-Essaouira, Cadi Ayyad University, Marrakech, Morocco Ghazoua Aljadida, Marrakech, Morocco

2. LMA, Hassan II University Casablanca FST Mohammedia, FST Mohammedia, Mohamhhhmedia, Morocco

3. LMA, Hassan II University Casablanca FST Mohammedia, FST Mohammedia, Mohammedia, Morocco

Publisher

ACM Press

Reference20 articles.

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2. G. R. Ayers and J. C. Dainty. Interative blind deconvolution method and its applications. Opt. Lett., 1988.

3. Y. Bai, G. Cheung, and X. Liu. Wen gao national institute of informatics. Blind image deblurring via reweighted graph total variation, 3:1822--1826, 2018.

4. P. Blomgren, T. F. Chan, P.Mulet, and C. K. Wong. Total variation image restoration: numerical methods and extensions. Image Processing, 3:384--387, 1997.

5. P. Campisi and K. Egiazarian. Blind image deconvolution: Theory and applications. CRC Press, 2017.

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