• DocumentCode
    3138786
  • Title

    Vector Concepts-Based Spectral Modelling

  • Author

    Lukac, Rastislav ; Plataniotis, Konstantinos N.

  • Author_Institution
    Dept. of Electr. & Compupt. Eng., Toronto Univ., Ont.
  • fYear
    2006
  • fDate
    38838
  • Firstpage
    2009
  • Lastpage
    2012
  • Abstract
    This paper presents a unique spectral modelling approach suitable for digital camera image processing. The proposed vector model combines both the magnitude and directional characteristics of the vectorial RGB color inputs and enforces orientation constraints in an orthogonal color system to produce outputs which can simultaneously match luminance and chrominance characteristics of the captured image. Thus, the model enhances the performance of commonly used practical demosaicking solutions. Moreover, spectral models previously used in demosaicking can be seen as special cases of the proposed vector model
  • Keywords
    cameras; image colour analysis; spectral analysis; vectors; RGB color input; chrominance characteristics; digital camera image processing; image demosaicking; luminance characteristics; orthogonal color system; spectral modeling; vector concept; CMOS image sensors; Color; Colored noise; Digital cameras; Educational institutions; Electronic mail; Laboratories; Semiconductor device modeling; Sensor arrays; Vectors; Color imaging; single-sensor digital cameras; spectral modelling; vector model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    1-4244-0038-4
  • Electronic_ISBN
    1-4244-0038-4
  • Type

    conf

  • DOI
    10.1109/CCECE.2006.277313
  • Filename
    4054783