Colorization for single image super resolution

Shuaicheng Liu, Michael S. Brown, Seon Joo Kim, Yu Wing Tai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


This paper introduces a new procedure to handle color in single image super resolution (SR). Most existing SR techniques focus primarily on enforcing image priors or synthesizing image details; less attention is paid to the final color assignment. As a result, many existing SR techniques exhibit some form of color aberration in the final upsampled image. In this paper, we outline a procedure based on image colorization and back-projection to perform color assignment guided by the super-resolution luminance channel. We have found that our procedure produces better results both quantitatively and qualitatively than existing approaches. In addition, our approach is generic and can be incorporated into any existing SR techniques.

Original languageEnglish
Title of host publicationComputer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings
PublisherSpringer Verlag
Number of pages14
EditionPART 6
ISBN (Print)3642155669, 9783642155666
Publication statusPublished - 2010
Event11th European Conference on Computer Vision, ECCV 2010 - Heraklion, Crete, Greece
Duration: 2010 Sept 102010 Sept 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 6
Volume6316 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th European Conference on Computer Vision, ECCV 2010
CityHeraklion, Crete

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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