Title :
A note on the Bregmanized Total Variation and dual forms
Author :
Darbon, Jerome ; Ciril, Igor ; Marquina, Antonio ; Chan, Tony F. ; Osher, Stanley
Author_Institution :
Math. Dept., UCLA, Los Angeles, CA, USA
Abstract :
This paper considers two approaches to perform image restoration while preserving the contrast. The first one is the Total Variation-based Bregman iterations while the second consists in the minimization of an energy that involves robust edge preserving regularization. We show that these two approaches can be derived form a common framework. This allows us to deduce new properties and to extend and generalize these two previous approaches.
Keywords :
image restoration; iterative methods; Bregmanized total variation; energy minimization; image restoration; robust edge preserving regularization; total variation-based Bregman iterations; Additive noise; Filtering; Gaussian noise; Image restoration; Laboratories; Lattices; Markov random fields; Mathematics; Robustness; TV;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413353