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LIANG Jing, LIAO Ning-fang, DONG Shu-wen, LIAN Yu-sheng, NIU Hai-liang. Simulation of CIECAM02 color appearance model based on Chinese color system[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2013, 22(1): 101-105.
Citation: LIANG Jing, LIAO Ning-fang, DONG Shu-wen, LIAN Yu-sheng, NIU Hai-liang. Simulation of CIECAM02 color appearance model based on Chinese color system[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2013, 22(1): 101-105.

Simulation of CIECAM02 color appearance model based on Chinese color system

  • Received Date:2012-03-08
  • Color appearance model (CAM) can be used to determine the required colors for reproduction across changes in cross-media. CIECAM02 color appearance model prediction is implemented by artificial neural networks in this paper, which includes forward and reversed prediction. 1333 color samples as training samples and other 1332 color samples as test samples are selected in the Chinese color system. In order to test the prediction accuracy of neural networks after simulation of CIECAM02 color appearance model, the color-difference formula can be used for the evaluation of forward and reversed models. Results have shown that BP neural-network has acceptable accuracy in simulation of CIECAM02 color appearance model for colors of Chinese color system.
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  • [1]
    Shi Junsheng. Progress on of the CIECAM02 and correlative study on colour appearance models[J]. Journal of Yunnan Normal University, 2011, 31(2):1-8. (in Chinese)
    [2]
    Li Changjun,Luo M R,Pointer M R.Recent progress with extensions to CIECAM02[C]//Seventeenth Color Imaging Conference. Springfield, USA: SOC Imaging Science & Technology,2009:69-74.
    [3]
    Wu Raychin. Proposed modification to the CIECAM02 colour appearance model to include the simultaneous contrast effects[J]. Color Res Appl, 2007, 32(2): 121-129.
    [4]
    Zheng Chenghui. Assessing gray scale grades for color change of dyed fabrics via image processing technology[J]. Journal of Donghua University,2011, 28(1):85-87.
    [5]
    Fairchild M D. Color appearance models[M]. New York: John Wiley & Sons, 2005.
    [6]
    Liao Ningfang, Shi Junsheng, Wu Wenmin. The conspectus of color information management for digital images[M]. Beijing: Beijing Institute of Technology Press, 2009. (in Chinese)
    [7]
    Li Changjun, Luo M R, Hunt R W G, et al. Color science and engineering system technologies and applications[C]//The Performance of CIECAM02. IS &T/ ISD's Tenth Color Imaging Conference. Scottsdale, Arizona, USA:[s.n.], 2002:28-32.
    [8]
    Moroney N, Fairchild M D, Hunt R W G, et al. Color science and engineering: system technologies and applications[C]//The CIECAM02 Color Appearance Model. IS &T/ ISD's Tenth Color Imaging Conference. Scottsdale, Arizona, USA:[s.n.], 2002:23-27.
    [9]
    Bishop J M. Application of neural networks to computer recipe prediction[J]. Color Res Appl, 1991, 16 (1): 3-9.
    [10]
    Zhou Shuangquan, Zhao Dazun. Neural network method for characterizing video cameras [J]. Proceeding of SPIE, 1998, 3561:62-68.
    [11]
    Xin J H. Colour-appearance modeling using feedforward networks with Bayesian regularization method. Part Ⅰ: forward model[J]. Color Res Appl, 2000,25(6): 424-434.
    [12]
    Schettini R. Approximating the CIECAM97s color appearance model by means of neural networks[J]. Image and Vision Computing, 2001, 19 (9): 691-697.
    [13]
    Campadelli P. Learning color appearance models by means of feedforward neural networks[J]. Color Res Appl,1999, 24(6): 411-421.
    [14]
    Luo M R, Rhodes, Peter A. Using the LUTCHI colour appearance data[J]. Color Res Appl,1997, 22(6): 414-417.
    [15]
    Chai Binghua, Zhao Dazun, Liao Ningfang. Color appearance model based on artificial neural network[J]. Optical Technique, 2005, 31(1): 127-129. (in Chinese)
    [16]
    Chai Binghua.Study on some problems of color appearance model CIECAM02[D]. Beijing: Beijing Institute of Technology, 2006. (in Chinese) (Edited by
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