Super-resolution of video using deformable patches

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We introduce the external examples to address the video super-resolution problem. Instead of using sub-pixel complementary information or self-similar examples, we propose the concept that the high frequency video details could be estimated from the external examples effectively. We prepare the high resolution dictionary by randomly selecting patches from the external high resolution images. For each low resolution patch in current frame, we select its neighboring similar patches within current and adjacent frames as the adaptive neighborhood. Their corresponding HR patches in the dictionary are chosen as the deformation candidates. Then we deform them to fit the LR patch. These patches are weighted combined and the final high resolution image is reconstructed by imposing the global constraints. Experiments show that our method outperforms the state-of-art methods.

Original languageEnglish
Title of host publicationIntelligence Science and Big Data Engineering
Subtitle of host publicationImage and Video Data Engineering - 5th International Conference, IScIDE 2015, Revised Selected Papers
EditorsXiaofei He, Zhi-Hua Zhou, Xinbo Gao, Zhi-Yong Liu, Yanning Zhang, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang
PublisherSpringer Verlag
Pages647-656
Number of pages10
ISBN (Print)9783319239873
DOIs
StatePublished - 2015
Event5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015 - Suzhou, China
Duration: 14 Jun 201516 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9242
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015
Country/TerritoryChina
CitySuzhou
Period14/06/1516/06/15

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