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Image denoising using multiscale directional cosine bases
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UNSPECIFIED (2005) Image denoising using multiscale directional cosine bases. In: IEEE International Conference on Image Processing (ICIP 2005), SEP 11-14, 2005, Genoa, ITALY.
Full text not available from this repository.Abstract
Motivated by the fact that in images, there is usually a presence of local strongly oriented harmonics, a representation which is both well-localised in frequency and orientation is desirable to efficiently describe such oriented harmonic features. Here we introduce a family of multiscale trigonometric bases for a bi-variate function called the Multiscale Directional Cosine bases for image denoising tasks. Our results show the promise of the new bases which almost consistently outperform other image representation bases on natural images.
| Item Type: | Conference Item (UNSPECIFIED) |
|---|---|
| Subjects: | T Technology > TR Photography |
| Series Name: | IEEE International Conference on Image Processing (ICIP) |
| Journal or Publication Title: | 2005 International Conference on Image Processing (ICIP), Vols 1-5 |
| Publisher: | IEEE |
| ISBN: | 0-7803-9134-9 |
| ISSN: | 1522-4880 |
| Date: | 2005 |
| Number of Pages: | 4 |
| Page Range: | pp. 2985-2988 |
| Publication Status: | Published |
| Title of Event: | IEEE International Conference on Image Processing (ICIP 2005) |
| Location of Event: | Genoa, ITALY |
| Date(s) of Event: | SEP 11-14, 2005 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/32640 |
Data sourced from Thomson Reuters' Web of Knowledge
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