In this work, we investigate how illuminant estimation techniques can be improved using indoor/outdoor classification. The illuminant estimation algorithms considered are derived from the framework recently proposed by Van de Weijer and Gevers. We have designed a strategy for the selection of the most appropriate algorithm on the basis of the classification results. We have tested the proposed strategy on a subset of the widely used Funt and Ciurea dataset. Experimental results clearly demonstrate that our strategy outperforms general purpose algorithms. © 2008 Springer-Verlag Berlin Heidelberg.
Schettini, R., Cusano, C., Ciocca, G., Bianco, S. (2008). Classification-based color constancy. In Visual Information Systems. Web-Based Visual Information Search and Management (pp.104-113). Springer [10.1007/978-3-540-85891-1_14].
Classification-based color constancy
SCHETTINI, RAIMONDO;CUSANO, CLAUDIO;CIOCCA, GIANLUIGI;BIANCO, SIMONE
2008
Abstract
In this work, we investigate how illuminant estimation techniques can be improved using indoor/outdoor classification. The illuminant estimation algorithms considered are derived from the framework recently proposed by Van de Weijer and Gevers. We have designed a strategy for the selection of the most appropriate algorithm on the basis of the classification results. We have tested the proposed strategy on a subset of the widely used Funt and Ciurea dataset. Experimental results clearly demonstrate that our strategy outperforms general purpose algorithms. © 2008 Springer-Verlag Berlin Heidelberg.
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