• DocumentCode
    2621320
  • Title

    Multi-directional Demosaicing for Digital Still Cameras

  • Author

    Jung, Tae-young ; Yang, Siyoung ; Jeong, Jechang

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
  • Volume
    7
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    374
  • Lastpage
    378
  • Abstract
    To obtain the full color image, at least three channels are required at each color location, however the image sensor obtains only the intensity of the brightness and cannot separate color information, three image sensors are required per pixel to capture the full color image. Since the image sensor is expensive, most of digital still cameras (DSCs) adopt single image sensor array with color filter array (CFA) to reduce the size and the cost. However the image obtained by single sensor array has only one color component per pixel, we need to reconstruct the missing two color components to obtain the full color image. We call this process as demosaicing or color filter interpolation. In this paper, we proposed new multi-directional demosaicing algorithm for digital still cameras (DSCs). The simulation results show that the proposed algorithm performs much better than the state-of-the-art demosaicing algorithms in term of subjective qualities.
  • Keywords
    CCD image sensors; cameras; image colour analysis; image reconstruction; interpolation; optical filters; color filter array interpolation; color image; digital still camera; image reconstruction; image sensor; multidirectional demosaicing algorithm; Brightness; Color; Costs; Digital cameras; Digital filters; Image reconstruction; Image sensors; Interpolation; Pixel; Sensor arrays; Bayer pattern; color filter interpolation; demosaicing; demosaicking; directional;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.760
  • Filename
    5170346