Procedures of digital image color correction based on the multiresponse regression models

Color correction procedures of the digital images by means of multiresponse regression models are presented. Scanner and digital camera calibration method under high images reproducibility condition based on the color coordinates linearization followed by correction function construction in the form of the third degree polynomial in the CIELAB space using calibrated color targets is described. The recommendations are given on computational procedures for the coefficients estimation of the digital image correction function using Bayes method and the image reference colors when color correction of each separate image is necessary.