Bevilacqua, Marco and Roumy, Aline and Guillemot, Christine and Alberi-Morel, Marie Line Super-resolution using neighbor embedding of back-projection residuals. In: Proceedings of the 18th International Conference on Digital Signal Processing (DSP). IEEE, pp. 1-8. (2013)
Full text not available from this repository.Abstract
In this paper we present a novel algorithm for neighbor embedding based super-resolution (SR), using an external dictionary. In neighbor embedding based SR, the dictionary is trained from couples of high-resolution and low-resolution (LR) training images, and consists of pairs of patches: matching patches (m-patches), which are used to match the input image patches and contain only low-frequency content, and reconstruction patches (r-patches), which are used to generate the output image patches and actually bring the high-frequency details. We propose a novel training scheme, where the m-patches are extracted from enhanced back-projected interpolations of the LR images and the r-patches are extracted from the back-projection residuals. A procedure to further optimize the dictionary is followed, and finally nonnegative neighbor embedding is considered at the SR algorithm stage. We consider singularly the various elements of the algorithm, and prove that each of them brings a gain on the final result. The complete algorithm is then compared to other state-of-the-art methods, and its competitiveness is shown.
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1109/ICDSP.2013.6622796 |
| Additional Information: | 18th International Conference on Digital Signal Processing (DSP), Santorini, Greece, 1-3 July 2013 |
| Uncontrolled Keywords: | back-projection; example-based; neighbor embedding; super-resolution |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 11 Dec 2014 11:14 |
| Last Modified: | 11 Dec 2014 11:33 |
| URI: | http://eprints.imtlucca.it/id/eprint/2414 |
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