Two-step multi-illuminant color constancy for outdoor scenes

Sang Ho Lee, Sung Min Woo, Ji Hoon Choi, Jong-Ok Kim

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

1 Citation (Scopus)

Abstract

This paper proposes a novel two-step multi-illuminant algorithm for color constancy in outdoor scenes. We adopt different color constancy approaches for both primary and secondary illuminations. In the first step, an input image is white-balanced entirely using the existing single-illuminant color constancy method. Next, we extract the secondary illumination region, which typically corresponds to a shaded region in outdoor scenes. Finally, the shaded region is corrected by the guidance of the Planckian locus theory. Experimental results show that the proposed algorithm can achieve much smaller angular error than conventional multi-illuminant methods while color artifact is alleviated.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PublisherIEEE Computer Society
Pages710-714
Number of pages5
Volume2017-September
ISBN (Electronic)9781509021758
DOIs
Publication statusPublished - 2018 Feb 20
Event24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
Duration: 2017 Sep 172017 Sep 20

Other

Other24th IEEE International Conference on Image Processing, ICIP 2017
CountryChina
CityBeijing
Period17/9/1717/9/20

Keywords

  • Multi-illuminant
  • Outdoor scene
  • RGB correction
  • Two-step color constancy

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint Dive into the research topics of 'Two-step multi-illuminant color constancy for outdoor scenes'. Together they form a unique fingerprint.

  • Cite this

    Lee, S. H., Woo, S. M., Choi, J. H., & Kim, J-O. (2018). Two-step multi-illuminant color constancy for outdoor scenes. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (Vol. 2017-September, pp. 710-714). IEEE Computer Society. https://doi.org/10.1109/ICIP.2017.8296373