Title | Image super-resolution via analysis sparse prior |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Ning Q, Chen K, Yi L, Fan C, Lu Y, Wen J |
Journal | IEEE Signal Processing Letters |
Volume | 20 |
Pagination | 399–402 |
Date Published | apr |
ISSN | 10709908 |
Keywords | Analysis sparsity, image super-resolution, neighbor compatibility, variance prediction |
Abstract | In this letter, we present a new algorithm for a single image super-resolution using the analysis sparse prior in the l$\alpha$$\beta$ color space. Experimental results show that our algorithm outperforms other existing state-of-the-art methods. In addition, due to the high scalability of our algorithm, key modules of the proposed algorithm can be integrated with other super resolution algorithms. |
URL | http://ieeexplore.ieee.org/document/6417962/ |
DOI | 10.1109/LSP.2013.2242198 |
Image super-resolution via analysis sparse prior
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