• DocumentCode
    350894
  • Title

    Colorimetric characterization for digital camera by using multiple regression

  • Author

    Yoon, Chang-Rak ; Cho, Maeng-Sub

  • Author_Institution
    VR R&D Centre, ETRI, Taejon, South Korea
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    585
  • Abstract
    Digital cameras provide a very useful way of capturing images for use in image processing and color communications. Many of techniques have developed to obtain high-quality color digital images. But the RGB signals generated by digital cameras are device dependent and not colorimetric. We have extracted the device independent characteristics of digital cameras and made transfer matrices to transform the RGB color signals into the CIE XYZ tristimulus values. The least square fitting technique was used to derive the coefficients of 3×m polynomial transfer matrices. We have investigated the degree of the polynomial and the number of color samples which produce the best result. The parameters affecting the characterization were also described
  • Keywords
    cameras; colorimetry; image colour analysis; image processing; image sampling; least squares approximations; polynomial matrices; statistical analysis; CIE XYZ tristimulus values; CIE standard colorimetric measurements; RGB color signals; RGB signals; color communications; color samples; colorimetric characterization; device independent characteristics; digital camera; high-quality color digital images; image capture; image processing; least square fitting technique; modeling accuracy; multiple regression; polynomial transfer matrices; transfer matrix coefficients; Application software; Color; Digital cameras; Digital images; Equations; Image processing; Layout; Page description languages; Polynomials; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 99. Proceedings of the IEEE Region 10 Conference
  • Conference_Location
    Cheju Island
  • Print_ISBN
    0-7803-5739-6
  • Type

    conf

  • DOI
    10.1109/TENCON.1999.818482
  • Filename
    818482