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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Dong, Y., & Hintermüller, M. (2009). Multi-scale total variation with automated regularization parameter selection for color image restoration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5567 LNCS, pp. 271–281). https://doi.org/10.1007/978-3-642-02256-2_23
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