• DocumentCode
    143623
  • Title

    Variable block wavelet wiener estimator in image denoising

  • Author

    Dagher, Issam ; Taleb, Catherine

  • fYear
    2014
  • fDate
    13-16 April 2014
  • Firstpage
    479
  • Lastpage
    483
  • Abstract
    This paper improves the Wiener filter in the wavelet domain without the usual zero mean assumption. An improved LESE (local expected square error) formula is derived. For each block size, the LESE and LESEimproved are computed. The block size that gave the minimum LESE is chosen. For that block if LESE is less than LESEimproved then the zero-mean filter is used else the non-zero mean filter is used. The improved filter gave a higher PSNR for all the test images and all the noise variances that we have used.
  • Keywords
    Wiener filters; image denoising; mean square error methods; wavelet transforms; LESE; Wiener filter; image denoising; local expected square error formula; noise variances; nonzero mean filter; variable block wavelet wiener estimator; wavelet domain; zero mean assumption; zero-mean filter; Image denoising; Noise measurement; PSNR; Wavelet transforms; Wiener filters; Image Denoising; LESE; MAD; PSNR; WAVELET; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE
  • Conference_Location
    Beirut
  • Type

    conf

  • DOI
    10.1109/MELCON.2014.6820581
  • Filename
    6820581
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=143623