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Beschreibung
The presented work revolves around sparsity. It contributes to dictionary training for sparse representation with a new algorithm and analysis. It showcases the usability of trained dictionary in image processing problems. It demonstrates a new framework for image recovery (inpainting and denoising) using sparse representation. In the end, it proposes an extension of the well-known sparse signal recovery algorithm, Orthogonal Matching Pursuit (OMP) for compressed sensing. It also provides a complete analysis of the proposed extension, and its theoretical guarantees.
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 22. Juli 2015 |
| Maße | 22 cm x 15 cm x 0.9 cm |
| Gewicht | 221 Gramm |
| Format | Softcover |
| ISBN-13 | 9783659762130 |
| Seiten | 136 |
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