Image cartoon-texture decomposition and feature selection using the total variation regularized L1 functional

Authors:
Wotao Yin;Donald Goldfarb;Stanley Osher
Affiliations:
Department of Industrial Engineering and Operations Research, Columbia University, New York, NY;Department of Industrial Engineering and Operations Research, Columbia University, New York, NY;Department of Mathematics, University of California at Los Angeles, Los Angeles, CA
Venue:
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Year:
2005

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Abstract

This paper studies the model of minimizing total variation with an L1-norm fidelity term for decomposing a real image into the sum of cartoon and texture. This model is also analyzed and shown to be able to select features of an image according to their scales.