A Multi-Scale Vectorial Lτ-TV Framework for Color Image Restoration

Authors:
Yiqiu Dong;Michael Hintermüller;M. Monserrat Rincon-Camacho
Affiliations:
Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria 8010;Department of Mathematics, Humboldt-University of Berlin, Berlin, Germany 10099;Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria 8010
Venue:
International Journal of Computer Vision
Year:
2011

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Abstract

A general multi-scale vectorial total variation model with spatially adapted regularization parameter for color image restoration is introduced in this paper. This total variation model contains an Lτ-data fidelity for any τC[1,2]. The use of a spatial dependent regularization parameter improves the reconstruction of features in the image as well as an adequate smoothing for the homogeneous parts. The automated adaptation of this regularization parameter is made according to local statistical characteristics of the noise which contaminates the image. The corresponding multiscale vectorial total variation model is solved by Fenchel-duality and inexact semismooth Newton techniques. Numerical results are presented for the cases τ=1 and τ=2 which reconstruct images contaminated with salt-and-pepper noise and Gaussian noise, respectively.