A new fast algorithm for constrained four-directional total variation image denoising problem
type: Item
instance of: scholarly article
title: A new fast algorithm for constrained four-directional total variation image denoising problem
zbMATH Open document ID: 1395.94047
DOI: 10.1155/2015/815132
author: Fan Liao
author: Jean Louis Coatrieux
author: Jiasong Wu
author: Huazhong Shu
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: A new four-directional total variation (4-TV) model, applicable to isotropic and anisotropic TV functions, is proposed for image denoising. A dual based fast gradient projection algorithm for the constrained 4-TV image denoising problem is also reported which combines the well-known gradient projection and the fast gradient projection methods. Experimental results show that this model provides in most cases a better signal to noise ratio when compared to previous models like the reference TV, the total generalized variation, and the nonlocal total variation.
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6927295
Wikidata QID: Q59119986
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/815132
OpenAlex ID: W2005440407
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description: scientific article; zbMATH DE number 6927295