Global Total Variation Minimization

Autor:	Françoise Dibos, Georges Koepfler
Rok vydání:	1999
Předmět:	Numerical Analysis Mathematical optimization Applied Mathematics Image processing Variation (game tree) Total variation denoising Computational Mathematics symbols.namesake Level set Gaussian noise Bounded variation symbols Calculus Minification Calculus of variations Mathematics
Zdroj:	SIAM Journal on Numerical Analysis. 37:646-664
ISSN:	1095-7170 0036-1429
Popis:	The minimization of the total variation is an important tool of image processing. A lot of authors have addressed the problem and developed algorithms for image denoising. In this paper we present an alternative approach of the total variation minimization problem. After an introduction to the topic and a review of related work, we give a short development of the bounded variation (BV) background. Then we present our global total variation minimization model and proof its validity. Furthermore we introduce a practical algorithm which handles digital image data and we give experimental results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87783711161e3a28520acb866ae1bbc2 https://doi.org/10.1137/s0036142998334838 Zobrazit plný text záznamu Plný text ve formátu PDF