• DocumentCode
    3371141
  • Title

    Joint color decrosstalk and demosaicking for CFA cameras

  • Author

    Wu, Xiaolin ; Zhang, Xiangjun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1333
  • Lastpage
    1336
  • Abstract
    The problem of crosstalk between different color bands was seemingly overlooked by existing color demosaicking algorithms. In this paper we propose a new joint demosaicking and decrosstalk technique that corrects channel crosstalks by adaptive least-squares inverse filtering. The new technique integrates the operations of deconvolution for crosstalk removal and interpolation for color demosaicking, and it introduces a general framework in which any spatially varying crosstalks and varying spatial-spectral correlations can be modeled and factored into the color reproduction. Simulation results show that the proposed technique is highly effective and capable to obtain both high color fidelity and sharp, clean spatial details.
  • Keywords
    adaptive filters; cameras; image colour analysis; image segmentation; interpolation; least squares approximations; CFA cameras; adaptive least-squares inverse filtering; channel crosstalks; color demosaicking; color fidelity; color reproduction; crosstalk removal; joint color decrosstalk; spatial-spectral correlations; Adaptation model; Color; Colored noise; Correlation; Crosstalk; Image color analysis; Pixel;
  • 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.2010.5653824
  • Filename
    5653824