• DocumentCode
    3446321
  • Title

    Assessing MDL in wavelet denoising and compression

  • Author

    Hansen, Mark ; Yu, Bin

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    34
  • Abstract
    In the context of wavelet denoising and compression, we study two mixture forms of MDL model selection criteria. We find that gMDL outperforms other techniques for 1-dim curve estimation and MDL does the same for natural images. While achieving similar (if not better) MSEs, they keep much fewer coefficients. Hence they are excellent simultaneous denoisers and compressors
  • Keywords
    data compression; image coding; mean square error methods; noise; transform coding; wavelet transforms; 1-dim curve estimation; MDL model selection criteria; MSE; compression; gMDL; mixture forms; natural images; wavelet denoising; Compressors; Context modeling; Design optimization; Image coding; Noise reduction; Quantization; Signal denoising; Signal processing; Testing; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Networking Workshop, 1999
  • Conference_Location
    Metsovo
  • Print_ISBN
    0-7803-5954-2
  • Type

    conf

  • DOI
    10.1109/ITNW.1999.814344
  • Filename
    814344
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3446321