Design of a color reproduction neural network chip with on-chip learning capability

The process of eliminating color errors from the gamut mismatch, resolution conversion, quantization and non-linearity between scanner and printer is an essential issue of color reproduction. To efficiently calibrate the non-linear color distortion characteristic between color scanner and printer and to enhance the reproduction quality of color documents, we develop a hardware processing module, which realizes the operation of a higher order CMAC neural network model with linear systolic array architecture, to on-line calibrate the color during the reproducing session. This mapping scheme exhibits fast computation speed in evaluating the output responses of higher-order CMAC model