We propose a generalization of the total variation (TV) minimization method proposed by Rudin, Osher and Fatemi. This generalization allows for adaptive regularization, which depends on the minimizer itself. Existence theory is provided in the framework of quasi-variational inequalities. We demonstrate the usability of our approach by considering applications for image and movie denoising. © 2012 Springer-Verlag.
CITATION STYLE
Lenzen, F., Becker, F., Lellmann, J., Petra, S., & Schnörr, C. (2012). Variational image denoising with adaptive constraint sets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6667 LNCS, pp. 206–217). https://doi.org/10.1007/978-3-642-24785-9_18
Mendeley helps you to discover research relevant for your work.