• DocumentCode
    2794117
  • Title

    Application of polynomial interpolation to salt and pepper noise removal

  • Author

    Hsieh, Cheng-Hsiung ; Lan, Chia-Wei ; Chen, Pei-wen ; Hung, Wei-Lung

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Chaoyang
  • Volume
    6
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3183
  • Lastpage
    3187
  • Abstract
    In this paper, we apply the one-dimensional polynomial interpolation (1-D PI) to salt and pepper noise removal. The difference between the proposed approach and median based schemes is that the noise pixel is replaced by an interpolated value instead of median in the window. With 3 x 3 window, two non-noise neighbor pixels are used to estimate the noise pixel by first-order PI. Then the interpolated value takes the place of noise pixel. The proposed approach is justified by two examples. The results indicate that the proposed approach has better visual quality in the examples when compared with conventional median filter and adaptive median filter.
  • Keywords
    image denoising; image resolution; interpolation; polynomials; adaptive median filter; nonnoise neighbor pixels; polynomial interpolation; salt and pepper noise removal; Adaptive filters; Degradation; Face recognition; Image quality; Interpolation; Low pass filters; Machine learning; Noise level; Pixel; Polynomials; Noise removal; Polynomial interpolation; Salt and pepper noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620955
  • Filename
    4620955