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Title: Total variation minimization and a class of binary MRF models.
Year: 06/2005
Language: English
Abstract: We observe that there is a strong connection between a whole class of simple binary MRF models and the Rudin-Osher-Fatemi Total Variation minimization approach to image denoising. This leads to new algorithms. We then compare the efficiency of various algorithms.

Pages: 19
MSC: 68U10 49-XX 65K05 90C35
Download: 578.pdf
URL: www.cmap.polytechnique.fr/~antonin
Auteurs:Antonin Chambolle
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