Super-resolution using Neighbor Embedding of Back-projection residuals - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2013

Super-resolution using Neighbor Embedding of Back-projection residuals

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.
Fichier principal
Vignette du fichier
dsp2013.pdf (988.84 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00876020 , version 1 (23-10-2013)

Identifiers

  • HAL Id : hal-00876020 , version 1

Cite

Marco Bevilacqua, Aline Roumy, Christine Guillemot, Marie-Line Alberi Morel. Super-resolution using Neighbor Embedding of Back-projection residuals. 18th International Conference on Digital Signal Processing (DSP), Jul 2013, Fira, Santorini, Greece. ⟨hal-00876020⟩
342 View
235 Download

Share

Gmail Facebook X LinkedIn More