• DocumentCode
    3473456
  • Title

    Optimal color spaces for image demosaicing

  • Author

    Gershikov, Evgeny ; Porat, Moshe

  • Author_Institution
    Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1621
  • Lastpage
    1624
  • Abstract
    Most demosaicing algorithms today are based on first reconstructing the green (G) color component followed by the reconstruction of the red (R) and the blue (B) components using the green. This approach and associated methods of using the differences R-G and B-G are arbitrary and in most cases not optimal. Instead, we propose optimal color spaces for demosaicing. Our optimization is based on energy compactness and smoothness of the color components. We compare the performance of the proposed algorithms to presently available demosaicing methods and show that the new approaches are superior both visually and quantitatively. Our conclusion is that the new color spaces improve the performance of demosaicing algorithms.
  • Keywords
    image colour analysis; blue color component; green color component; image demosaicing; optimal color spaces; red color component; Cities and towns; Digital cameras; Filters; Image reconstruction; Interpolation; Iterative algorithms; Optimization methods; Roentgenium; Sensor arrays; Space technology; Bayer pattern; Demosaicing; color transform; interpolation; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413387
  • Filename
    5413387