Global Total Variation Minimization
Dibos, Françoise; Koepfler, Georges (2000), Global Total Variation Minimization, SIAM Journal on Numerical Analysis, 37, 2, p. 646-664. http://dx.doi.org/10.1137/S0036142998334838
TypeArticle accepté pour publication ou publié
Journal nameSIAM Journal on Numerical Analysis
MetadataShow full item record
Abstract (EN)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.
Subjects / Keywordstotal variation; image denoising; minimization; level set
Showing items related by title and author.