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Device calibration of a color image scanner digitizing system by using neural networks

In the color image analysis, color images can be captured through color video cameras or color image scanners. The calibration of a color image capturing device is required as digitizing system's spectral sensibilities are not always identical to the human color matching functions. Calibration can be abstracted as a modeling problem from a device dependent color space to a device independent and uniform color space. In this paper, a neural network model is proposed for converting a device-dependent color space to a device-independent color space. Statistical, optimization, and genetic algorithm approaches are compared with the neural network method to find the best model with the smallest resultant /spl Delta/Ea*b*. Conclusions are drawn with experimental results.