Paper
4 December 2000 Image denoising using orthonormal finite ridgelet transform
Minh N. Do, Martin Vetterli
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Minh N. Do and Martin Vetterli "Image denoising using orthonormal finite ridgelet transform", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408673
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CITATIONS
Cited by 28 scholarly publications.
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KEYWORDS
Wavelets

Discrete wavelet transforms

Denoising

Radon transform

Image denoising

Wavelet transforms

Fourier transforms

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