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Paper data
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Title:
Total variation image restoration with local constraints

Author(s):
Bertalmío Marcelo, Universitat Pompeu Fabra, Barcelona
Caselles Vicent, Universitat Pompeu Fabra, Barcelona
Rougé Bernard, CNES, Toulouse
Solé Andrés, Universitat Pompeu Fabra, Barcelona

Page numbers in the proceedings:
Volume II pp 449-452

Session:
Image Restoration

Paper abstract
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L. Rudin, S. Osher and E. Fatemi proposed a method for image restoration based on the minimization of the Total Variation submitted to the constraints given by the image acquisition model. To ensure the satisfaction of the constraints, a Lagrange multiplier $lambda$ has to be estimated. We observed that if $lambda$ is global, the constraints are also globally satisfied, but not locally. We discuss the problem of imposing local constraints with a finite number of Lagrange multipliers associated to a partition of the image and we display some experimental results obtained with this model.

Paper
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A PDF version is available here

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