• DocumentCode
    2450056
  • Title

    A color interpolation scheme based on improved bilinear scheme for Bayer CFA digital cameras

  • Author

    Ren, Hao ; Xie, Lei ; Chen, Huifang

  • Author_Institution
    Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    480
  • Lastpage
    484
  • Abstract
    Digital cameras mostly use a color filter array (CFA) to capture the colors of the scene. To render a full-color image, numerous color interpolation algorithms are proposed to recalculate full resolution R, G and B components. Based on the image correlation and simple edge detection, we propose a color interpolation scheme for Bayer CFA digital cameras. In our proposed scheme, an improved edge detection bilinear interpolation algorithm is used to calculate R and B components. Simulation results show that our proposed scheme can prevent from sudden change, flatten, less distortion effectively, and preserve vein and detail as much as possible. In edge areas of the test images, not only the advantage of simpleness in bilinear algorithm is retained, but also the number of pixels involved in the calculation is reduced. Moreover, our proposed scheme can also achieve a higher PSNR compare to three conventional methods.
  • Keywords
    edge detection; image colour analysis; image resolution; interpolation; B components; Bayer CFA digital cameras; R components; color filter array; color interpolation scheme; digital cameras; full-color image; image correlation; improved bilinear scheme; improved edge detection bilinear interpolation algorithm; Correlation; Digital cameras; Image color analysis; Image edge detection; Image reconstruction; Interpolation; PSNR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376665
  • Filename
    6376665