• DocumentCode
    3379937
  • Title

    Gradient based threshold free color filter array interpolation

  • Author

    Pekkucuksen, Ibrahim ; Altunbasak, Yucel

  • Author_Institution
    Center for Signal & Image Process., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    Color Filter Array (CFA) interpolation is an integral part of image processing pipeline for single sensor digital cameras. Many CFA algorithms have been proposed over the years to improve resulting image quality. One such algorithm is the highly successful Directional Linear Minimum Mean-Square Error Estimation (DLMMSE) method. We make several observations on this algorithm and propose a new method to address those points. The proposed method yields visually pleasing results and outperforms all CFA interpolation algorithms that are included in a recent survey paper in terms of PSNR.
  • Keywords
    cameras; gradient methods; image colour analysis; image segmentation; image sensors; information filtering; interpolation; least mean squares methods; sensor arrays; CFA interpolation; DLMMSE method; PSNR; demosaicing; directional linear minimum mean-square error estimation; gradient based threshold free color filter array interpolation; image processing pipeline; image quality; single sensor digital camera; Arrays; Color; Estimation; Image color analysis; Interpolation; PSNR; Pixel; Bayer color filter array; Demosaicing; color interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5654327
  • Filename
    5654327