• DocumentCode
    248315
  • Title

    Exploitation of inter-color correlation for color image demosaicking

  • Author

    Jaiswal, Sunil Prasad ; Au, Oscar C. ; Jakhetiya, Vinit ; Yuan Yuan ; Haiyan Yang

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1812
  • Lastpage
    1816
  • Abstract
    Image demosaicking or color filter array interpolation is a process of interpolating missing color samples to reconstruct a full color image. In general, existing algorithms assume that the high frequency components such as edges, texture etc. of different color channels are similar and thus take an advantage of it to estimate the missing samples. In this paper, we efficiently analyze the relationships of intra and inter-color correlation among the channels and observe that such assumption fails in most cases. In view of this observation, we propose a scheme that exploits the correlation between different color channels much effectively than the existing algorithms. Experimental results demonstrate that the proposed algorithm outperforms the existing methods both in terms of Peak Signal to Noise Ratio (PSNR) and visual perception.
  • Keywords
    correlation methods; filtering theory; image colour analysis; image reconstruction; image segmentation; interpolation; visual perception; PSNR; color channels; color filter array interpolation; high frequency components; image demosaicking; image reconstruction; intercolor correlation; intracolor correlation; peak signal to noise ratio; visual perception; Colored noise; Correlation; Gold; Image color analysis; Image reconstruction; Interpolation; PSNR; Bayer color filter array; color difference interpolation; demosaicking; high frequency components;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025363
  • Filename
    7025363