Efficient Denoising of Images with Smooth Geometry

Authors:
Agnieszka Lisowska
Affiliations:
Institute of Informatics, University of Silesia, Sosnowiec, Poland 41-200
Venue:
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Year:
2009

Citing 4
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Abstract

In the paper the method of smooth geometry image denoising has been presented. It is based on smooth second order wedgelets proposed in this paper. Smooth wedgelets (and second order wedgelets) are defined as wedgelets with smooth edges. Additionally, smooth borders of quadtree partition have been introduced. The first kind of smoothness is defined adaptively whereas the second one is fixed once for the whole estimation process. The proposed kind of wedgelets has been applied to image denoising. As follows from experiments performed on benchmark images this method gives far better results of denoising of images with smooth geometry than the other state-of-the-art methods.