Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Representing Colors as Three Numbers
IEEE Computer Graphics and Applications
IEEE Pervasive Computing
Strong optimality of the normalized ML models as universal codes and information in data
IEEE Transactions on Information Theory
Minimum description length synthetic aperture radar image segmentation
IEEE Transactions on Image Processing
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In this paper, a new Minimum Description Length (MDL) approach for the characterization of a mobile phone's color camera is presented. The use of high-order polynomials, Fourier sine series, and artificial neural networks (ANN) for solving this problem are compared and contrasted. The MDL formalism is used for determining the stochastic complexity of polynomial and Fourier sine models for the characterization of a Nokia N93 mobile phone camera. A quantitative evaluation of their performances, as well as for using an ANN, is provided.