TY - JOUR
T1 - Computational color constancy: Survey and experiments
AU - Gijsenij, Arjan
AU - Gevers, Theo
AU - Van De Weijer, Joost
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the-art methods. Several criteria are proposed that are used to assess the approaches. A taxonomy of existing algorithms is proposed and methods are separated in three groups: static methods, gamut-based methods, and learning-based methods. Further, the experimental setup is discussed including an overview of publicly available datasets. Finally, various freely available methods, of which some are considered to be state of the art, are evaluated on two datasets. © 2011 IEEE.
AB - Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the-art methods. Several criteria are proposed that are used to assess the approaches. A taxonomy of existing algorithms is proposed and methods are separated in three groups: static methods, gamut-based methods, and learning-based methods. Further, the experimental setup is discussed including an overview of publicly available datasets. Finally, various freely available methods, of which some are considered to be state of the art, are evaluated on two datasets. © 2011 IEEE.
KW - Color constancy
KW - Illuminant estimation
KW - Performance evaluation
KW - Survey
U2 - 10.1109/TIP.2011.2118224
DO - 10.1109/TIP.2011.2118224
M3 - Article
SN - 1057-7149
VL - 20
SP - 2475
EP - 2489
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 9
M1 - 5719167
ER -