Author : Ioannis Chatzis, Dimitris Gavrilis, Evangelos Dermatas

• Keywords : Spectral characterization, Genetic algorithms, mixture of Gaussian

In camera characterization a number of techniques is applied to minimize the impact of different hardware and software implementation in image acquisition systems, and preserve colour distortion between devices. In this paper, a new method for spectral response estimation is presented and evaluated based on genetic algorithms. The optimization criterion minimizes the maximum difference between a mixture of Gaussian functions and the real spectral response. A genetic optimization process estimates the parameters of the Gaussian mixture, implemented in Java using the tournament selection method. The experimental results show significant improvement of the proposed spectral estimation method over the well-known PCA method using the first six to ten most significant eigenvectors in the presence of three additive noises: the noise which is statistically independent to the intensity level, the signal dependent noise, and the digitization noise.