基于机器学习的彩色匹配技术
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本文研究得到国家自然科学基金和国际合作项目彩色匹配资金资助.

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    摘要:

    在不同的设备间保持色彩的一致性是当前彩色印刷的一项重要的世界性技术难题.从机器学习的角度,提出了基于学习的色彩空间变换方法,并利用科学发现的基本思想,较为成功地解决了彩色喷墨打印机中的彩色匹配的自动化和通用性问题,取得了理想的匹配效果.该技术目前已与日本佳能泰克公司进一步合作、开发,实现商品化.

    Abstract:

    It is an important and hard technique problem in the area of color printing to keep the accordance of color between the different devices. In this paper, from the view of machine learning, a new color space transformation method based on machine learning is presented. Using the basic ideas of science discovery, it successfully solves the automatic and general problem in the different color ink printers. The experimental results show that this approach is superior to the traditional methods. Currently, this technique has been applied to the new products in the color ink printer markets, under the cooperation with Canotec Corporation Incorporated in Japan.

    参考文献
    1  Fairchild M D, Berns R S. Image color-appearance specification through extension of CIELAB. Color Research and Application, 1993,18(3):178~190 2  Viggiano J A S, Wang C J. A comparison of algorithms for mapping color between media of differing luminance ranges. In: Proceedings of the Technical Association for the Graphic Arts. Vol 2. 1992. 959~974 3  Nakamura, Sayanagi. Gray component replacement by the neugebauer equations. In: Proceedings of the International Society for Optical Engineering. Vol 1184, 1989. 50~63 4  Hung Po Chieh. Colorimetric calibration in electronic imaging devices using look-up-table model and interpolations. Journal of Electronic Imaging, 1993,25(2):53~61 5  Okatsu, Murai, Kita. High accurate color transformation based on UCR. Japan Hardcopy Papers Collection'94, 1994. 177~180 6  Hung Po Chieh. Colormetric calibration for four-color printer. Japanese Picture Committee, 1993,56(2):112~122 7  Keiji Tajima. Color-image copy theory. Image Technology Committee, Maruzen Co., Inc., 1996. 75~107 8  李国杰.人工智能的计算复杂性研究.模式识别与人工智能,1992,5(3):280~287 (Li Guo-jie. Research on computational complexity of artificial intelligence. Pattern Recognition and Artificial Intelligence, 1992,5(3):280~287) 9  Hong Jia-rong. Learning from example and multi learning system AE5. Journal of Computer Science and Technology, 1989,12(2):98~105 10  Langley P. BACON.1: a general discovery system. In: Proceedings of the 2nd National Conference of Canadian Society for Computational Studies in Intelligence. 1978. 173~180 11  Li Ai-zhong et al. Recursive function method of science discovery. Journal of Computer Science and Technology, 1993,16(8):577~582
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引用本文

钱国良,陈 彬,舒文豪,洪 勇,马培军.基于机器学习的彩色匹配技术.软件学报,1998,9(11):845-850

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  • 收稿日期:1997-08-28
  • 最后修改日期:1997-11-26
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