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Image denoising using fractal and wavelet-based methods

: Marpe, D.; Barthel, K.-U.; Cycon, H.L.


Truchetet, F. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Wavelet applications in industrial processing : 28 - 29 October 2003, Providence, Rhode Island, USA
Bellingham/Wash.: SPIE, 2004 (SPIE Proceedings Series 5266)
ISBN: 0-8194-5154-1
Conference "Wavelet Applications in Industrial Processing" <2003, Providence/RI>
Fraunhofer HHI ()

There is a considerable amount of literature about image denoising using wavelet-based methods. Some new ideas where also reported using fractal methods. In this paper we propose a hybrid wavelet-fractal denoising method. Using a non-subsampled overcomplete wavelet transform we present the image as a collection of translation invariant copies in different frequency subbands. Within this multiple representation we do a fractal coding which tries to approximate a noise free image. The inverse wavelet transform of the fractal collage leads to the denoised image. Our results are comparable to some of the most efficient known denoising methods.