• DocumentCode
    1654409
  • Title

    Shot noise adaptive bilateral filter

  • Author

    Phelippeau, Harold ; Talbot, Hugues ; Akil, Mohamed ; Bara, Stefan

  • Author_Institution
    Labinfo, Univ. Paris-Est, Noisy-le-Grand
  • fYear
    2008
  • Firstpage
    864
  • Lastpage
    867
  • Abstract
    The bilateral filter (BF) is an important image denoising local filter. It reduces noise in images while preserving edges by means of nonlinear combination of local pixel values. Its formulation and implementation are both simple. However, the BF is not parameter-free. The set of the bilateral filter parameters has an important influence on its behavior and performance. They have to be chosen considering the end application. In the case of noise removal, the parameters have to be adapted to the noise level, while the bilateral filter adapts itself to the image details content. In this paper we propose a method to estimate the best bilateral filter intensity parameter set in the case of shot noise removal, the dominant form of natural noise in digital imaging.
  • Keywords
    adaptive filters; image denoising; shot noise; bilateral filter intensity parameter set; bilateral filter parameters; digital imaging; image denoising local filter; natural noise; nonlinear combination; shot noise adaptive bilateral filter; shot noise removal; Adaptive filters; Convolution; Filtering; Gaussian noise; Image sensors; Noise level; Noise reduction; Pixel; Semiconductor device noise; Statistics; Poisson noise model; gaussian weight; image sensors; noise estimation; noise filtering; noise reduction; photons flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697265
  • Filename
    4697265