| 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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