PT Journal
AU Arjan Gijsenji
   Theo Gevers
   Joost Van de Weijer
TI Computational Color Constancy: Survey and Experiments
SO IEEE Transactions on Image Processing
JI TIP
PY 2011
BP 2475
EP 2489
VL 20
IS 9
DI 10.1109/TIP.2011.2118224
DE computational color constancy; computer vision application; gamut-based method; learning-based method; static method; colour vision; computer vision; image colour analysis; learning (artificial intelligence); lighting
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 data sets. Finally, various freely available methods, of which some are considered to be state-of-the-art, are evaluated on two data sets.
ER