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.

Date Published: 1 October 2018
PDF: 7 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108080J (1 October 2018); doi: 10.1117/12.2501498

Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)