TY - JOUR
T1 - Adaptive color controller for image scanning and printing devices
AU - Chang, Gao Wei
AU - Chen, Yung Chang
AU - Huang, King Lung
N1 - Publisher Copyright:
© 1994 IEEE.
PY - 1994
Y1 - 1994
N2 - A new adaptive color controller for image scanning and printing processes is proposed. The objective of controlling colors is to achieve the desired accuracy of color reproduction under various viewing and graphic-arts conditions. Based on the plant inverse approach, the adaptive color controller is devised to eliminate color errors for image reproduction. And, it involves a novel feature-extraction method and a model-free estimator. In this approach, the feature-extraction method characterizes the extreme nonlinearity of any combination of color scanning and printing devices in terms of the human vision characteristics. For the consideration of easy implementation and fast image-processing speed, the higher-order CMAC neural network, which was proposed by Lane in 1991, is employed to work for the model-free approximation. In this paper, the colorimetric simulation illustrates the satisfactory performance. Finally, its effectiveness is also demonstrated by several colorimetric experiments.
AB - A new adaptive color controller for image scanning and printing processes is proposed. The objective of controlling colors is to achieve the desired accuracy of color reproduction under various viewing and graphic-arts conditions. Based on the plant inverse approach, the adaptive color controller is devised to eliminate color errors for image reproduction. And, it involves a novel feature-extraction method and a model-free estimator. In this approach, the feature-extraction method characterizes the extreme nonlinearity of any combination of color scanning and printing devices in terms of the human vision characteristics. For the consideration of easy implementation and fast image-processing speed, the higher-order CMAC neural network, which was proposed by Lane in 1991, is employed to work for the model-free approximation. In this paper, the colorimetric simulation illustrates the satisfactory performance. Finally, its effectiveness is also demonstrated by several colorimetric experiments.
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U2 - 10.1109/ICIP.1994.413695
DO - 10.1109/ICIP.1994.413695
M3 - Conference article
AN - SCOPUS:84999007108
VL - 3
SP - 997
EP - 1001
JO - Proceedings - International Conference on Image Processing, ICIP
JF - Proceedings - International Conference on Image Processing, ICIP
SN - 1522-4880
M1 - 413695
T2 - Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3)
Y2 - 13 November 1994 through 16 November 1994
ER -