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Computational Color Constancy: Survey and Experiments.
- Source :
- IEEE Transactions on Image Processing; Sep2011, Vol. 20 Issue 9, p2475-2489, 15p
- Publication Year :
- 2011
-
Abstract
- 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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10577149
- Volume :
- 20
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Image Processing
- Publication Type :
- Academic Journal
- Accession number :
- 64469831
- Full Text :
- https://doi.org/10.1109/TIP.2011.2118224