This paper describes an approach for performing image restoration using a coupled differential system that both simplifies the image while preserving its contrast. The first process corresponds to a differential inclusion involving discrete Total Variations that simplifies more and more the observed image as time evolves. The second one extracts some pertinent geometric information contained in the series of simplified images and recovers the constrast using Bregman distances. Convergence and exact computational properties of the method rely on the discrete and combinatorial properties of discrete Total Variations. © 2011 Springer-Verlag.
CITATION STYLE
Ciril, I., & Darbon, J. (2011). Image denoising with a constrained discrete total variation scale space. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6607 LNCS, pp. 465–476). https://doi.org/10.1007/978-3-642-19867-0_39
Mendeley helps you to discover research relevant for your work.