Regularization Parameter Selection in Total Variation Based Image Denoising
Yiqiu Dong, Michael Hintermüller, Monserrat Rincon · PAMM · 2008
Abstract A new approach of selecting the regularization parameter in a multiscale total variation model is proposed. The method is combined with a primal–dual algorithm to get a new iteration method for noise removal. Numerical results illustrate significant improvement over other popular methods. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)