• DocumentCode
    1546109
  • Title

    Demosaicing: image reconstruction from color CCD samples

  • Author

    Kimmel, Ron

  • Author_Institution
    Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
  • Volume
    8
  • Issue
    9
  • fYear
    1999
  • fDate
    9/1/1999 12:00:00 AM
  • Firstpage
    1221
  • Lastpage
    1228
  • Abstract
    A simplified color image formation model is used to construct an algorithm for image reconstruction from CCD sensors samples. The proposed method involves two successive steps. The first is motivated by Cok´s (1994) template matching technique, while the second step uses steerable inverse diffusion in color. Classical linear signal processing techniques tend to oversmooth the image and result in noticeable color artifacts along edges and sharp features. The question is how should the different color channels support each other to form the best possible reconstruction. Our answer is to let the edges support the color information, and the color channels support the edges, and thereby achieve better perceptual results than those that are bounded by the sampling theoretical limit
  • Keywords
    CCD image sensors; edge detection; image colour analysis; image enhancement; image matching; image reconstruction; image sampling; Bayer color filter array pattern; CCD sensors; color CCD samples; color artifacts; color channels; color image formation model; color information; demosaicing; edges; image enhancement; image reconstruction algorithm; linear signal processing; perceptual results; sampling theoretical limit; steerable inverse diffusion; template matching; Charge coupled devices; Color; Digital cameras; Digital images; Filters; Image reconstruction; Image sampling; Image sensors; Signal processing algorithms; Spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.784434
  • Filename
    784434