Title: Image denoising with second-order wedgelets

Authors: Agnieszka Lisowska

Addresses: Faculty of Computer and Materials Science, Institute of Informatics, University of Silesia, ul. Bedzinska 39, 41-200 Sosnowiec, Poland

Abstract: In this paper, the new adaptive geometrical multiresolution technique of image denoising based on second-order wedgelets is proposed. The results of denoising are compared with the other well-known multiresolution techniques, which are based on wavelets, curvelets and wedgelets. These methods are seen as representatives of different approaches of image approximation. All these approaches were described in detail and compared in the area of image denoising. From the experiments performed on tested images, it follows that the proposed method gives better results of denoising in comparison with the other described methods, especially for images with a well-defined geometry.

Keywords: second-order wedgelets; curvelets; wavelets; image denoising; Gaussian noise; multiresolution; geometrical methods; image approximation.

DOI: 10.1504/IJSISE.2008.020915

International Journal of Signal and Imaging Systems Engineering, 2008 Vol.1 No.2, pp.90 - 98

Published online: 24 Oct 2008 *

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