• DocumentCode
    1498356
  • Title

    Efficient wavelet-based image denoising algorithm

  • Author

    Cai, Zhaohui ; Cheng, Tee Hiang ; Lu, Chao ; Subramanian, K.R.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
  • Volume
    37
  • Issue
    11
  • fYear
    2001
  • fDate
    5/24/2001 12:00:00 AM
  • Firstpage
    683
  • Lastpage
    685
  • Abstract
    Characterising the statistics of wavelet coefficients is a critical issue in image compression and denoising. Many powerful approaches have been investigated, but accurate modelling suffers from high computational complexity. In this work an efficient adaptive algorithm to capture the dependency of both inner and inter scale wavelet coefficients is proposed. Experimental results show that compared with other algorithms, in the case of higher noise variance, greater PSNR performance gain may be obtained
  • Keywords
    adaptive signal processing; computational complexity; image enhancement; wavelet transforms; PSNR performance gain; adaptive algorithm; computational complexity; inner scale wavelet coefficients; inter scale wavelet coefficients; noise variance; wavelet-based image denoising algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20010466
  • Filename
    926440
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1498356