Color balancing based upon gamut and temporal correlations

Sung-Su Kim; Ho-Young Lee; Byoung-Ho Kang; Seong-Deok Lee; Du-Sik Park; Chang-Yeong Kim

doi:10.1117/12.703991

12 February 2007 Color balancing based upon gamut and temporal correlations

Sung-Su Kim, Ho-Young Lee, Byoung-Ho Kang, Seong-Deok Lee, Du-Sik Park, Chang-Yeong Kim

Proceedings Volume 6492, Human Vision and Electronic Imaging XII; 64920T (2007) https://doi.org/10.1117/12.703991
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

Image acquisition devices inherently do not have color constancy mechanism like human visual system. Machine color constancy problem can be circumvented using a white balancing technique based upon accurate illumination estimation. Unfortunately, previous study can give satisfactory results for both accuracy and stability under various conditions. To overcome these problems, we suggest a new method: spatial and temporal illumination estimation. This method, an evolution of the Retinex and Color by Correlation method, predicts on initial illuminant point, and estimates scene-illumination between the point and sub-gamuts derived by from luminance levels. The method proposed can raise estimation probability by not only detecting motion of scene reflectance but also by finding valid scenes using different information from sequential scenes. This proposed method outperforms recently developed algorithms.

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Sung-Su Kim, Ho-Young Lee, Byoung-Ho Kang, Seong-Deok Lee, Du-Sik Park, and Chang-Yeong Kim "Color balancing based upon gamut and temporal correlations", Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64920T (12 February 2007); https://doi.org/10.1117/12.703991

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KEYWORDS

Reflectivity

Algorithm development

Image acquisition

Lithium

RGB color model

Motion estimation

Statistical analysis

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