An evolutionary framework for colorimetric characterization of scanners
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
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The mathematical formulation of calibrating color scanners is presented. The mapping from scanned values to colorimetric values is inherently nonlinear. Calibration required approximating this nonlinear mapping. Neural networks are particularly suited to this task. Performance using an artificial neural network generated LUT is compared to that achieved by other commonly used methods.