• DocumentCode
    854604
  • Title

    Colour demosaicking method using adaptive cubic convolution interpolation with sequential averaging

  • Author

    Yu, W.

  • Author_Institution
    Intelligent Robot Res. Div., Yuseong-Gu Daejeon
  • Volume
    153
  • Issue
    5
  • fYear
    2006
  • Firstpage
    666
  • Lastpage
    676
  • Abstract
    Colour demosaicking refers to the process used to estimate missing colour components at each pixel position in a single-sensor imaging device equipped with a colour filter array. The proposed method starts the demosaicking process by estimating the luminance channel, which utilises cubic convolution interpolation along the direction of the smallest gradient magnitude at each chrominance pixel position. Reconstruction of chrominance channels comprises spectral correlation-based average of neighbouring chrominance pixels and sequential filtering on the reconstructed chrominance channels. The sequential filtering can be regarded as a postprocessing stage and effectively smears out colour artefacts. Experimental results show the effectiveness of this approach
  • Keywords
    convolution; filtering theory; image colour analysis; image reconstruction; image segmentation; image sensors; interpolation; adaptive convolution interpolation; chrominance channels reconstruction; chrominance pixel position; chrominance pixels; colour demosaicking method; colour filter array; cubic convolution interpolation; gradient magnitude; luminance channel estimation; sequential averaging; sequential filtering; single-sensor imaging device;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20050281
  • Filename
    4027755