Application of genetic algorithms to minimization of the reproduction error of natural objects in calibrated CRT display using the GOG model

Abstract

We have applied a genetic algorithm to minimization the reproduction error of natural objects in a calibrated CRT display. The GOG model of calibrated CRT display provides the relative scalar values (R,G,B) of each channel-colour. With these values the CRT Display reproduces the colour of natural objects. The reproduced colour in the CRT display is different of the colour of natural object under the selected illuminant (D65). We have perturbed each relative scalar values RGB with one increment (ΔR, ΔG, ΔB) to minimize the reproduced colour error. We obtain these increments using a genetic algorithm. The genetic algorithm uses the relative scalar values (R,G,B) provided by the GOG model to generate the initial population and the colour difference ΔE94 of CIELAB system as merit function. We have applied a genetic algorithm to minimization the reproduction error of 24 natural objects of ColorChecker chart in the calibrated CRT display. The ColorChecker chart is uniform illuminated with 90π lx of illuminant D65.