• DocumentCode
    2929556
  • Title

    LMMSE frequency merging for demosaicking

  • Author

    Tang, Weiran ; Au, Oscar C. ; Wen, Xing ; Yang, Yi ; Fang, Lu

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    For raw images captured by most digital cameras, every pixel has only on color in R, G and B. Kinds demosaicking algorithms are proposed for interpolating the missing two colors. In this article, the relationships inter and intra color channels are analyzed, and basing on the features, we propose a method to divide raw images into sub images and merge them in frequency domain with linear combination. Optimal weights are calculated with estimation values and raw values based on minimum mean square error criteria. Experiments results with different estimations are presented and discussed.
  • Keywords
    cameras; frequency-domain analysis; image colour analysis; image resolution; image segmentation; least mean squares methods; LMMSE frequency merging; color interpolation; demosaicking algorithms; digital cameras; intercolor channels; intracolor channels; minimum mean square error criteria; pixel; Digital cameras; Filters; Frequency domain analysis; Image analysis; Image color analysis; Image edge detection; Interpolation; Mean square error methods; Merging; Pixel; Demosaicking; Frequency Merging; LMMSE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202478
  • Filename
    5202478