Abstract
This paper addresses the image denoising problem using a newly proposed digital image transform: the finite ridgelet 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 831-842 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 4119 |
| DOIs | |
| State | Published - 2000 |
| Event | Wavelet Applications in Signal and Image Processing VIII - San Diego, CA, USA Duration: Jul 31 2000 → Aug 4 2000 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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Cite this
Do, M. N., & Vetterli, M. (2000). Image denoising using orthonormal finite ridgelet transform. Proceedings of SPIE - The International Society for Optical Engineering, 4119, 831-842. https://doi.org/10.1117/12.408673