Reducible dictionaries for single image super-resolution based on patch matching and mean shifting

TitreReducible dictionaries for single image super-resolution based on patch matching and mean shifting
Type de publicationArticle de revue
AuteurRasti, Pejman , Nasrollahi, Kamal , Orlova, Olga , Tamberg, Gert , Moeslund, Thomas B
EditeurSociety of Photo-optical Instrumentation Engineers
TypeArticle scientifique dans une revue à comité de lecture
Année2017
LangueAnglais
Date22 Avril 2017
Numéro2
Volume26
Titre de la revueJournal of Electronic Imaging
ISSN1017-9909
Résumé en anglais

A single-image super-resolution (SR) method is proposed. The proposed method uses a generated dictionary from pairs of high resolution (HR) images and their corresponding low resolution (LR) representations. First, HR images and the corresponding LR ones are divided into patches of HR and LR, respectively, and then they are collected into separate dictionaries. Afterward, when performing SR, the distance between every patch of the input LR image and those of available LR patches in the LR dictionary is calculated. The minimum distance between the input LR patch and those in the LR dictionary is taken, and its counterpart from the HR dictionary is passed through an illumination enhancement process. By this technique, the noticeable change of illumination between neighbor patches in the super-resolved image is significantly reduced. The enhanced HR patch represents the HR patch of the super-resolved image. Finally, to remove the blocking effect caused by merging the patches, an average of the obtained HR image and the interpolated image obtained using bicubic interpolation is calculated. The quantitative and qualitative analyses show the superiority of the proposed technique over the conventional and state-of-art methods.

URL de la noticehttp://okina.univ-angers.fr/publications/ua17501
DOI10.1117/1.JEI.26.2.023024
Lien vers le document

https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imagin...

Titre abrégéJ. Electron. Imaging