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 |
|---|---|
| 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 |
| Volume | 2017-September |
| ISBN (Electronic) | 9781509021758 |
| DOIs | |
| Publication status | Published - 2018 Feb 20 |
| Event | 24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: 2017 Sep 17 → 2017 Sep 20 |
Other
| Other | 24th IEEE International Conference on Image Processing, ICIP 2017 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 17/9/17 → 17/9/20 |
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Keywords
- Multi-illuminant
- Outdoor scene
- RGB correction
- Two-step color constancy
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
Two-step multi-illuminant color constancy for outdoor scenes. / Lee, Sang Ho; Woo, Sung Min; Choi, Ji Hoon; Kim, Jong-Ok.
2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. Vol. 2017-September IEEE Computer Society, 2018. p. 710-714.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Two-step multi-illuminant color constancy for outdoor scenes
AU - Lee, Sang Ho
AU - Woo, Sung Min
AU - Choi, Ji Hoon
AU - Kim, Jong-Ok
PY - 2018/2/20
Y1 - 2018/2/20
N2 - 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.
AB - 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.
KW - Multi-illuminant
KW - Outdoor scene
KW - RGB correction
KW - Two-step color constancy
UR - http://www.scopus.com/inward/record.url?scp=85045337013&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045337013&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8296373
DO - 10.1109/ICIP.2017.8296373
M3 - Conference contribution
AN - SCOPUS:85045337013
VL - 2017-September
SP - 710
EP - 714
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
ER -