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Proceedings Paper

Image denoising using orthonormal finite ridgelet transform
Author(s): Minh N. Do; Martin Vetterli
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Paper Abstract

This paper addresses the image denoising problem using a newly proposed digital image transform: the finite rigdelet transform (FRIT). The transform is invertible, non-redundant and achieved via fast algorithms. Furthermore this transform can be designed to be orthonormal thus indicating its potential in many other image processing applications. We then propose various improvements on the initial design of the FRIT in order to make it to have better energy compaction and to reduce the border effect. Experimental results show that the new transform outperforms wavelets in denoising images with linear discontinuities.

Paper Details

Date Published: 4 December 2000
PDF: 12 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408673
Show Author Affiliations
Minh N. Do, Swiss Federal Institute of Technology Lausanne (Switzerland)
Martin Vetterli, Swiss Federal Institute of Technology Lausanne and Univ. of California/Berkeley (Switzerland)

Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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