• DocumentCode
    3185100
  • Title

    Image filter method based on maximal entropy principle

  • Author

    Dong, Lichun ; Yang, Lianhe ; Liang, Chen

  • Author_Institution
    Comput. Sci. & Software Instn., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2010
  • fDate
    3-5 Dec. 2010
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    This paper selects Haar wavelet as the basis, using the soft threshold method wavelet coefficients of compression processing, image filtering experiment is accomplished by wavelet compression de-noising method. The approach to determine the appropriate threshold coefficient affects the noise level directly, so the approach used to determine the threshold coefficient is very important. The maximum entropy principle is used to determine threshold coefficient in this paper. De-noising experimental results of a picture with noise shows that the method to determine the threshold coefficient through the maximum entropy principle and then wavelet compress de-noising is accomplished, which is used to complain combine the threshold coefficient through the maximum entropy principle and wavelet compression de-noising and the result is satisfied.
  • Keywords
    Haar transforms; image coding; image denoising; maximum entropy methods; wavelet transforms; Haar wavelet; image filter; maximal entropy principle; soft threshold method wavelet coefficients; wavelet compression denoising; Entropy; Image coding; Information filters; Noise; Noise reduction; Wavelet coefficients; maximum entropy; reducing image noise; threshold method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Application (ICCIA), 2010 International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-8597-0
  • Type

    conf

  • DOI
    10.1109/ICCIA.2010.6141527
  • Filename
    6141527