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Proceedings Paper

Image restoration by constrained total variation minimization and variants
Author(s): Antonin Chambolle; Pierre-Louis Lions
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Paper Abstract

We study a signal or image restoration method proposed by Rudin and Osher, namely, the constrained total variation (TV) minimization. This very powerful method gives excellent results on nearly piecewise constant signals, but fails on more complicated data. We propose a very general way to combine convex potentials like the TV, and in this setting we introduce a variant that performs better on piecewise regular--but non constant-- signals.

Paper Details

Date Published: 1 September 1995
PDF: 10 pages
Proc. SPIE 2567, Investigative and Trial Image Processing, (1 September 1995); doi: 10.1117/12.218480
Show Author Affiliations
Antonin Chambolle, Univ. de Paris IX--Univ. de Paris-Dauphine (France)
Pierre-Louis Lions, Univ. de Paris IX--Univ. de Paris-Dauphine (France)

Published in SPIE Proceedings Vol. 2567:
Investigative and Trial Image Processing
Leonid I. Rudin; Simon K. Bramble, Editor(s)

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