Open AccessAn algorithm for image restoration with mixed noise using total variation regularization
Author(s) -
Cong Thang Pham,
Guilhem Gamard,
Andrey Kopylov,
Thi Thu Thao Tran
Publication year - 2018
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-1803-100
Subject(s) - total variation denoising , gaussian noise , regularization (linguistics) , gaussian , noise reduction , fidelity , algorithm , shot noise , poisson distribution , noise (video) , image denoising , mathematics , image restoration , computer science , image (mathematics) , artificial intelligence , image processing , statistics , physics , telecommunications , quantum mechanics , detector
In this paper, we present an effective scheme for image denoising based on total variation regularization. The proposed scheme allows to efficiently remove Poisson noise as well as Gaussian noise simultaneously, with the help of a new kind of a data-fidelity term, that is suitable for mixed Gaussian-Poisson noise. The results show that the algorithm corresponding to our scheme outperforms the existed methods for mixed Poisson-Gaussion noise removal.
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