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Removing color cast of underwater images through non-constant color constancy hypothesis

: Henke, Birgit; Vahl, Matthias; Zhou, Zhiliang


Ramponi, G.:
8th International Symposium on Image and Signal Processing and Analysis, ISPA 2013. Proceedings : Trieste, Italy, September 4-6, 2013
Zagreb: University of Zagreb, 2013
ISBN: 978-953-184-187-0
ISBN: 978-1-4799-3125-5 (print)
ISBN: 978-953-184-194-8
International Symposium on Image and Signal Processing and Analysis (ISPA) <8, 2013, Trieste>
Conference Paper
Fraunhofer IGD ()
color image processing; image enhancement; depth images; digital image processing; color models; Business Field: Visual decision support; Research Area: Confluence of graphics and vision

Color cast is a crucial problem for color image processing. White balance has been widely used to eliminate color cast to improve the image's quality. Most of white balance implementations are based on color constancy hypothesis. A wellknown color constancy hypothesis is given in [1], unifying White Patch [2], Grey World [3], Shades of Grey [4], and Grey Edge [1] assumptions in one expression. However, this general hypothesis works on underwater images not as reliable as on common images. In the color constancy hypothesis for common scenes, the ambient light source is spatial constant. But in underwater scenes, the light suffers from serious attenuation, especially in the red part of the visible spectrum. This attenuation causes spatial variance of the ambient light source, which lets classic color constancy hypothesis fail. In this paper, we propose a novel low-level image feature-based color constancy hypothesis for underwater scenes. Based on this hypothesis, we propose an algorithm, using a distance map to estimate multiple gain factors to remove the color cast.