TY  - JOUR
AU  - Shida Beigpour
AU  - Christian Riess
AU  - Joost Van de Weijer
AU  - Elli Angelopoulou
PY  - 2014//
TI  - Multi-Illuminant Estimation with Conditional Random Fields
T2  - TIP
JO  - IEEE Transactions on Image Processing
SP  - 83
EP  - 95
VL  - 23
IS  - 1
KW  - color constancy
KW  - CRF
KW  - multi-illuminant
N2  - Most existing color constancy algorithms assume uniform illumination. However, in real-world scenes, this is not often the case. Thus, we propose a novel framework for estimating the colors of multiple illuminants and their spatial distribution in the scene. We formulate this problem as an energy minimization task within a conditional random field over a set of local illuminant estimates. In order to quantitatively evaluate the proposed method, we created a novel data set of two-dominant-illuminant images comprised of laboratory, indoor, and outdoor scenes. Unlike prior work, our database includes accurate pixel-wise ground truth illuminant information. The performance of our method is evaluated on multiple data sets. Experimental results show that our framework clearly outperforms single illuminant estimators as well as a recently proposed multi-illuminant estimation approach.
SN  - 1057-7149
L1  - http://refbase.cvc.uab.es/files/BRW2014.pdf
UR  - http://dx.doi.org/10.1109/TIP.2013.2286327
N1  - CIC; LAMP; 600.074; 600.079
ID  - Shida Beigpour2014
ER  -