An image colorization algorithm using sparse optimization

Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa

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

4 Citations (Scopus)

Abstract

This paper proposes a new digital image colorization algorithm using the sparse optimization. We deal with the colorization problem where a grayscale image is colorized using a full color image with a similar composition, and formulate this problem as the sparse optimization problem. We also provide an iterative reweighted least squares (IRLS) algorithm to solve this problem approximately, and the full color image is obtained in practical time. Numerical examples show that the proposed algorithm colorizes a grayscale image well.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages1588-1592
Number of pages5
DOIs
Publication statusPublished - 18 Oct 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period26/05/1331/05/13

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Keywords

  • image colorization
  • IRLS algorithm
  • sparse optimization

Cite this

Uruma, K., Konishi, K., Takahashi, T., & Furukawa, T. (2013). An image colorization algorithm using sparse optimization. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 1588-1592). [6637919] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2013.6637919