• DocumentCode
    2647454
  • Title

    Image Denoising Application Using Improved Multiscale Intensity Estimation

  • Author

    Li, Yeqiu ; Lu, Jianming ; Wang, Ling ; Yahagi, Takashi

  • Author_Institution
    Graduate Sch. of Sci. & Technol., Chiba Univ.
  • fYear
    2006
  • fDate
    12-15 Dec. 2006
  • Firstpage
    590
  • Lastpage
    593
  • Abstract
    The improved multiscale intensity estimation method in wavelet domain presented here is a powerful new tool for image denoising and reconstruction. Specifically, we extend the so-called multiscale intensity estimation in wavelet domain. Unlike traditional wavelet-shrink methods, this method is both well suited to processing Poisson data and capable of preserving image edges. At the heart of this new method lies image signal decompositions based on wavelet basis and estimation of the coefficients using the proposed estimation method. Experimental results suggest that our proposed estimation in wavelet domain can outperform standard reconstruction methods currently in use in image restoration
  • Keywords
    image denoising; image restoration; stochastic processes; wavelet transforms; Poisson data; image denoising application; image reconstruction; image restoration; image signal decompositions; multiscale intensity estimation; reconstruction methods; wavelet domain; wavelet-shrink methods; Heart; Image denoising; Image reconstruction; Image restoration; Noise reduction; Partitioning algorithms; Reconstruction algorithms; Signal processing; Signal resolution; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
  • Conference_Location
    Yonago
  • Print_ISBN
    0-7803-9732-0
  • Electronic_ISBN
    0-7803-9733-9
  • Type

    conf

  • DOI
    10.1109/ISPACS.2006.364727
  • Filename
    4212345