Color correction by color mapping using color temperature constraints

Rafał Protasiuk; Władysław Skarbek

doi:10.1117/12.2501498

1 October 2018 Color correction by color mapping using color temperature constraints

Rafał Protasiuk, Władysław Skarbek

Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108080J (2018) https://doi.org/10.1117/12.2501498
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland

Abstract

Color correction methods have gained a lot of attention in the past few years to circumvent color degradation that may occur due to image acquisition in various light sources conditions, which can be described easily by color temperature parameter. Color Temperature (CT) in color theory is defined as the temperature of a blackbody radiator whose chromaticity point is closest to the chromaticity point of the non-planckian light source. In simple words, CT describes whether the light source at given scene is more bluish, neutral or reddish. In this paper, we present a color correction method in which we combine local color mapping based on selected color samples from both input and reference images together with user-specified color temperature constraint to formulate the optimization problem which result is simple linear transformation matrix. We also present experimental results and comparisons with other color correction methods for performance validation of the proposed method.

Citation Download Citation

Rafał Protasiuk and Władysław Skarbek "Color correction by color mapping using color temperature constraints", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108080J (1 October 2018); https://doi.org/10.1117/12.2501498

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KEYWORDS

Light sources

Color difference

RGB color model

Image processing

Light sources and illumination

Cameras

Color image processing

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