Sparse Representation for Image Super-Resolution
| Autor: | Yao-Wen Lin, 林耀文 |
|---|---|
| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 People require best high resolution displays due to advances in multimedia technology. In order to get the best display on the devices, the super resolution (SR) technique enhances the resolution of an imaging system. Therefore, the purpose of image super resolution is to reconstruct high resolution images from low resolution images. In this thesis, we propose single image super-resolution using artificial neural network based via sparse representation. Experimental results show that the high resolution image quality using the proposed algorithms is similar than that using the traditional bi-cubic interpolation and Yang’s method. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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