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Proceedings Paper

Image denoising using fractal- and wavelet-based methods
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Paper Abstract

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.

Paper Details

Date Published: 27 February 2004
PDF: 9 pages
Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); doi: 10.1117/12.516206
Show Author Affiliations
Kai Uwe Barthel, Fachhochschule fuer Technik und Wirtschaft Berlin (Germany)
Hans L. Cycon, Fachhochschule fuer Technik und Wirtschaft Berlin (Germany)
Detlev Marpe, Heinrich-Hertz-Institut fuer Nachrichtentechnik (Germany)

Published in SPIE Proceedings Vol. 5266:
Wavelet Applications in Industrial Processing
Frederic Truchetet, Editor(s)

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