Grey-wavelet: unifying grey-world and grey-edge colour constancy algorithms

In this paper, we propose the grey-wavelet hypothesis for colour constancy which assumes that both the average reflectance of surfaces and the average of reflectance differences in a scene are achromatic. The framework combines well-known grey-world and grey-edge hypotheses under the wavelet framewo...

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Bibliographic Details
Published in:Signal, image and video processing image and video processing, 2015-11, Vol.9 (8), p.1889-1896
Main Authors: Celik, Turgay, Yetgin, Zeki
Format: Article
Language:English
Subjects:
Computer Imaging
Computer Science
Image Processing and Computer Vision
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Signal,Image and Speech Processing
Vision
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Summary:In this paper, we propose the grey-wavelet hypothesis for colour constancy which assumes that both the average reflectance of surfaces and the average of reflectance differences in a scene are achromatic. The framework combines well-known grey-world and grey-edge hypotheses under the wavelet framework. The quality of the various instantiations of the framework is evaluated on set of images of colourful objects under a controlled indoor setting and on real-world datasets containing mainly outdoor scenes. The experiments show that the proposed colour constancy algorithm obtains better results than the state-of-the-art colour constancy algorithms of similar complexity. Since the framework operates in wavelet transform domain, it can be easily adopted to JPEG2000 for the purpose of colour constancy.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-014-0679-7