Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration

Authors:
Yiqiu Dong;Michael Hintermüller
Affiliations:
START-Project "Interfaces and Free Boundaries" and SFB "Mathematical Optimization and Applications in Biomedical Science", Institute of Mathematics and Scientific Computing, University of Graz, Gr ...;Department of Mathematics, Humboldt-University of Berlin, Unter den Linden 6, 10099 Berlin, Germany, START-Project "Interfaces and Free Boundaries" and SFB "Mathematical Optimization and Applicati ...
Venue:
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Year:
2009

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Abstract

In this paper, a multi-scale vectorial total variation model for color image restoration is introduced. The model utilizes a spatially dependent regularization parameter in order to preserve the details during noise removal. The automated adjustment strategy of the regularization parameter is based on local variance estimators combined with a confidence interval technique. Numerical results on images are presented to demonstrate the efficiency of the method.