• DocumentCode
    2605320
  • Title

    Color Image Denoising with Multi-channel Spatial Color Filtering

  • Author

    Meher, Sukadev

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Rourkela, India
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    284
  • Lastpage
    288
  • Abstract
    A multi-channel circular spatial filter (MCSF) in YCbCr-color space is developed for color image denoising. In [2], Bhoi and Meher proposed and demonstrated that circular spatial filter performed very well for efficient suppression of additive white Gaussian noise (AWGN) from gray images. Here multi-channel versions of the circular spatial filter are proposed and developed. The developed filter is based on three-channel processing (e.g., RGB-processing, YCbCr-processing, etc.). The YCbCr version of MCSF is observed to yield quite superior performance as compared to the other versions in RGB, CMY and CIE Lab color spaces. The proposed filter outperforms the multi-channel versions of existing filters in terms of objective and subjective evaluation measures.
  • Keywords
    AWGN; filtering theory; image colour analysis; image denoising; spatial filters; YCbCr-color space; additive white Gaussian noise suppression; color image denoising; gray images; multichannel circular spatial filter; multichannel spatial color filtering; three-channel processing; AWGN; Additive white noise; Color; Colored noise; Computational modeling; Filtering; Gaussian noise; Kernel; Noise reduction; Spatial filters; additive white Gaussian noise (AWGN); bilateral filter; circular spatial filter; color image denoising; image denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-6614-6
  • Type

    conf

  • DOI
    10.1109/UKSIM.2010.60
  • Filename
    5481199