relation: http://eprints.imtlucca.it/2414/
title: Super-resolution using neighbor embedding of back-projection residuals
creator: Bevilacqua, Marco
creator: Roumy, Aline
creator: Guillemot, Christine
creator: Alberi-Morel, Marie Line
subject: QA75 Electronic computers. Computer science
description: 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.
publisher: IEEE
date: 2013-07
type: Book Section
type: PeerReviewed
identifier:   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)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6622796&isnumber=6622665
relation: 10.1109/ICDSP.2013.6622796