Location of Repository

Tetrolet Shrinkage with Anisotropic Total Variation Minimization for Image Approximation

By Jens Krommweh A and Jianwei Ma

Abstract

In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to suppress the pseudo-Gibbs artefacts and to increase the regularity, the conventional shrinkage results are further processed by a total variation (TV) minimization scheme, in which only the insignificant tetrolet coefficients of the image are changed by the use of ATV constrained projection, instead of previous TV projections. Numerical experiments of piecewise-smooth images show the good performance of the proposed hybrid method to recover the shape of edges and important detailed directional components, in comparison to some existing methods. Key words: anisotropic total variation minimization, directional wavelets, tetrolet transform, post-processing method, image approximation, data compression, sparse representation 2000 MSC: 42C40, 65T60, 94A12, 94A08 1

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.190.908
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.uni-due.de/mathemat... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.