• DocumentCode
    3542895
  • Title

    Research and comparison of display color conversions based on standard of ICC color management

  • Author

    Xu, Baohui ; Li, Yan ; Zhang, Jie

  • Author_Institution
    Xi´´an Univ. of Technol., Xi´´an, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    The color management system has formulated the color management standard (ICC)to reduce the chromatic aberration arising from various equipments and systems. There are several methods to assess the quality of the monitor. In this paper, the author uses the contrast matrix model, the multinomial fitting, the three dimensional look-up-table and the neural network method separately to choose one method which has the best Accuracy. Two common CRT monitors were chosen, and the contrast matrix model, the multinomial fitting, the three dimensional look-up-table and the neural network methods were used in this experiments. Results and Discussion: It can be concluded that the tone/matrix model is the traditional method, the bound of chromatic aberration was placed in the middle, the polynomial regression had a low accuracy, the three dimensional look-up-table and the artificial neural network procedures could be used to characterize commonly used color CRT, and the artificial neural network procedures had better accuracy.
  • Keywords
    colour displays; neural nets; table lookup; 3D look-up-table; ICC color management; chromatic aberration; contrast matrix model; display color conversions; multinomial fitting; neural network method; polynomial regression; Artificial neural networks; Cathode ray tubes; Color; Conference management; Displays; Equations; Instruments; Measurement standards; Monitoring; Technology management; color difference; look-up-table; multinomial fitting; neural network; tone/matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274316
  • Filename
    5274316