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| Paper: | IMDSP-P4.3 |
| Session: | Image and Multidimensional Signal Processing: Theory and Methods |
| Time: | Tuesday, May 18, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Image and Multidimensional Signal Processing: Image and Video Filtering |
| Title: |
SVD-BASED IMAGE FILTERING IMPROVEMENT BY MEANS OF IMAGE ROTATION |
| Authors: |
Damien Muti; Institut Fresnel | | |
| | Salah Bourennane; Institut Fresnel | | |
| | Mireille Guillaume; Institut Fresnel | | |
| Abstract: |
This article shows that image filtering based on SVD favors the denoising in the line (horizontal) and column (vertical) directionsince the matrix SVD is equivalent to a simultaneous line and column vector Principal Component Analysis (PCA). It also proposesa simple algorithm based on PCA-filtering processed on a rotatedimage such that the principal directions becomes vertical or horizontal. It brings an important improvement in the final imagequality since the filtering in every image direction is improved. |
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