Color correction by color mapping combined with color temperature constraints

Color transfer methods can alter color appearance in the input image by borrowing color statistics from the reference image. Correlated Color Temperature (CCT) 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 CCT describes whether the light source in given scene is bluish-white, neutral or reddish white. In this paper we present a color transfer method in which we combine selected color samples from both input and reference images together with CCT function computed against them to formulate the optimization problem which result in linear transformation matrix. Given transformation matrix could be easily propagated against other images with similar color characteristics. We also present experimental results and comparisons with other methods for performance validation of presented method.

Keywords: Color transfer, image processing, correlated color temperature

Authors: Rafał Protasiuk, Władysław Skarbek

Session name: "Algorithms for Image Processing and Analysis" chaired by prof. Władysław Skarbek
2018-06-04 Monday, 11-13