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 language | English |
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Title of host publication | 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings |
Publisher | IEEE Computer Society |
Pages | 710-714 |
Number of pages | 5 |
ISBN (Electronic) | 9781509021758 |
DOIs | |
Publication status | Published - 2017 Jul 2 |
Event | 24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: 2017 Sept 17 → 2017 Sept 20 |
Publication series
Name | Proceedings - International Conference on Image Processing, ICIP |
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Volume | 2017-September |
ISSN (Print) | 1522-4880 |
Other
Other | 24th IEEE International Conference on Image Processing, ICIP 2017 |
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Country/Territory | China |
City | Beijing |
Period | 17/9/17 → 17/9/20 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Multi-illuminant
- Outdoor scene
- RGB correction
- Two-step color constancy
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing