Open AccessAn adaptive algorithm for restoring image corrupted by mixed noise
Author(s) -
Pham Cong Thang,
Trần Phương Thảo,
Tran Dang Khoa Phan,
Dinh Viet Sang,
Phạm Minh Tuấn,
Nguyễn Minh Hiếu
Publication year - 2019
Publication title -
cybernetics and physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 8
eISSN - 2226-4116
pISSN - 2223-7038
DOI - 10.35470/2226-4116-2019-8-2-73-82
Subject(s) - total variation denoising , noise reduction , computer science , gaussian noise , regularization (linguistics) , image restoration , noise (video) , image (mathematics) , image denoising , artificial intelligence , algorithm , image processing , digital image , digital image processing , computer vision
Image denoising is one of the fundamental problems in image processing. Digital images are often contaminated by noise due to the image acquisition process under poor conditions. In this paper, we propose an effective approach to remove mixed Poisson-Gaussian noise in digital images. Particularly, we propose to use a spatially adaptive total variation regularization term in order to enhance the ability of edge preservation. We also propose an instance of the alternating direction algorithm to solve the proposed denoising model as an optimization problem. The experiments on popular natural images demonstrate that our approach achieves superior accuracy than other recent state-of-the-art techniques.