• DocumentCode
    1431948
  • Title

    Least-Squares Luma–Chroma Demultiplexing Algorithm for Bayer Demosaicking

  • Author

    Leung, Brian ; Jeon, Gwanggil ; Dubois, Eric

  • Author_Institution
    Inst. of Biomater. & Biomed. Eng., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    20
  • Issue
    7
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    1885
  • Lastpage
    1894
  • Abstract
    This paper addresses the problem of interpolating missing color components at the output of a Bayer color filter array (CFA), a process known as demosaicking. A luma-chroma demultiplexing algorithm is presented in detail, using a least-squares design methodology for the required bandpass filters. A systematic study of objective demosaicking performance and system complexity is carried out, and several system configurations are recommended. The method is compared with other benchmark algorithms in terms of CPSNR and S-CIELAB ΔE* objective quality measures and demosaicking speed. It was found to provide excellent performance and the best quality-speed tradeoff among the methods studied.
  • Keywords
    image colour analysis; image segmentation; least squares approximations; optical filters; Bayer color filter array; Bayer demosaicking; bandpass filters; least-squares luma-chroma demultiplexing algorithm; missing color components; Algorithm design and analysis; Computational complexity; Demultiplexing; Frequency modulation; Image color analysis; Pixel; Training; Bayer sampling; color demosaicking; color filter array (CFA);
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2011.2107524
  • Filename
    5696756