• DocumentCode
    1672890
  • Title

    A MMSE estimate for demosaicking

  • Author

    Trussell, H. Joel

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    3
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    358
  • Abstract
    Digital color cameras sample the continuous color spectrum using three or more filters; however, each pixel represents a sample of only one of the color bands. This arrangement is called a mosaic. To produce a full resolution color image, the recorded image must be processed to estimate the values of the pixels for all the other color bands. This restoration process is called demosaicking. This paper uses stacked notation to represent the mosaicked image capture and derives the minimum mean square error estimator for the demosaicked image. By making common assumptions, the restoration can be computed in a cost effective manner. This allows the user to apply most of the common adaptations that have been used in non-mosaicked sampled image processing to produce a variety of improved algorithms
  • Keywords
    cameras; image colour analysis; image representation; image resolution; image restoration; image sampling; image segmentation; least mean squares methods; MMSE estimate; demosaicking; digital color cameras; full resolution color image; image capture; minimum mean square error estimator; mosaic; recorded image; restoration process; sample; stacked notation; Bayesian methods; Color; Convolution; Costs; Digital cameras; Digital filters; Discrete Fourier transforms; Image resolution; Image restoration; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958125
  • Filename
    958125