Neural plant inverse control approach to color error reduction for scanner and printer

Gao Wei Chang, Po Rong Chang

研究成果: 書貢獻/報告類型會議貢獻

9 引文 斯高帕斯(Scopus)

摘要

The process of eliminating the color errors from the gamut mismatch, resolution conversion, quantization and nonlinearity between scanner and printer is usually recognized as an essential issue of color reproduction. This paper presents a new formulation based on the inverse plant control for the color error reduction process. In our formulation based on the inverse plant control for the color error reduction process. In our formulation, the printer input and scanner output correspond to the input and output of a system plant respectively. Obviously, if the printer input equals the scanner output, then there are no colors errors involved in the entire system. In the other words, the plant becomes an identity system. To achieve this goal, a plant inverse should be identified and added to the original system. Since the system of a combination of both scanner and printer is highly non-linear, a multi-layer back-propagation neural networks, which have the capability to learn arbitrary nonlinearity, are applied to identify the plant inverse. Finally, a number of test samples are conducted to verify the effectiveness of the proposed method.

原文英語
主出版物標題1993 IEEE International Conference on Neural Networks
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1979-1983
頁數5
1993-January
ISBN(電子)0780309995
ISBN(列印)0780312007
DOIs
出版狀態已發佈 - 1993
對外發佈Yes
事件1993 IEEE International Conference on Neural Networks - San Francisco, California, USA
持續時間: 1993 三月 281993 四月 1

其他

其他1993 IEEE International Conference on Neural Networks
城市San Francisco, California, USA
期間93/3/2893/4/1

ASJC Scopus subject areas

  • Engineering(all)

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  • 引用此

    Chang, G. W., & Chang, P. R. (1993). Neural plant inverse control approach to color error reduction for scanner and printer. 於 1993 IEEE International Conference on Neural Networks (卷 1993-January, 頁 1979-1983). [298860] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNN.1993.298860