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Color Constancy Using Illuminant-Invariant LBP Features

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 685))

Abstract

Color constancy is a problem related to how to make captured image color closer to biological vision, which is important for a lot of vision application including image stitching, visual tracking etc. Color constancy consists of light source color estimation and image white balance processing. Although, color constancy is ill-posed problem, there still are much study on it. In this paper, we try to solve this problem from illuminant invariant pixel estimation angle. LBP (Local Binary Pattern)-based statistical method is adopted as key tool for light source color estimation. Finally, experimental results demonstrate our algorithm advantage.

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Correspondence to Chen Yao .

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Xia, Y., Yao, C. (2017). Color Constancy Using Illuminant-Invariant LBP Features. In: Yang, X., Zhai, G. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2016. Communications in Computer and Information Science, vol 685. Springer, Singapore. https://doi.org/10.1007/978-981-10-4211-9_1

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  • DOI: https://doi.org/10.1007/978-981-10-4211-9_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4210-2

  • Online ISBN: 978-981-10-4211-9

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