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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2003> 12(4): 376-380
YANG Wei-ping, LIAO Ning-fang, CHAI Bing-hua, HU Zhong-ping, BAI Li, LI Zhao-jian. Color Reproduction on CRT Displays via BP Neural Networks Under Office Environment[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2003, 12(4): 376-380.
Citation: YANG Wei-ping, LIAO Ning-fang, CHAI Bing-hua, HU Zhong-ping, BAI Li, LI Zhao-jian. Color Reproduction on CRT Displays via BP Neural Networks Under Office Environment[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2003, 12(4): 376-380.
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Color Reproduction on CRT Displays via BP Neural Networks Under Office Environment

  • 1.

    National Laboratory of Color Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China; Physics and Electron Information College, Yunnan Normal University, Kunming, Yunnan650092, China

  • 2.

    National Laboratory of Color Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China

Funds:theNationalNaturalScienceFoundation(60278022)andtheNaturalScienceFoundationofYunnanProvince(2000A0044M)
  • Received Date:2003-06-17
    Abstract
  • A CRT characterization method based on color appearance matching is presented. A matching between Munsell color chips and CRT charts was obtained in vision perceiver in typical office environment and viewing condition by recommending. And neural networks were utilized to accomplish the color space conversion from CIE standard color space to CRT device color space. The neural networks related the color space conversion and color reproduction of soft/hard-copy directly to the influence of the illuminance and viewing condition in vision perceiver. The average color difference of training samples is 3.06 and that of testing samples is 5.17. The experiment results indicated that the neural networks can satisfy the requirements for the color appearance of hard-copy reproduction in CRT.
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    • References (12)
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