• DocumentCode
    1895751
  • Title

    Modified EZW coding for the M-band wavelet transform and its application to image compression

  • Author

    Bhokare, G.D. ; Karthik, R.J.

  • Author_Institution
    Electr. Eng., IIT Bombay
  • fYear
    2005
  • fDate
    17-20 July 2005
  • Firstpage
    883
  • Lastpage
    888
  • Abstract
    This paper describes the extension of the embedded zero wavelet tree coding technique (J.M. Shapiro, 1993) to the M-band wavelet transform. Through this scheme, we improve the efficiency of the embedded zero wavelet tree coding, that finds extensive application as a variable bit-rate coder. To prove the efficacy, we compare the compression ratio and the PSNR obtained by a traditional 2-band wavelet based coder, with those obtained with the M-band wavelet based EZW coder. One additional point discussed in this paper, is the performance of a traditional 2-level quantization in EZW against an M-adaptive coder. We see the advantages and disadvantages in going in for an M-adaptive coder and conclude based on the PSNR and compression ratio obtained at various bit-rates. The variable bit-rate is emulated as multiple scans. Hence graphs plot the compression ratio or the PSNR against the number of scans. An important inference drawn from this paper is that, M-band wavelet transform with M=Odd, exhibits special properties, as a result of which the EZW scheme performs much more efficiently with them
  • Keywords
    adaptive codes; data compression; image coding; transform coding; tree codes; wavelet transforms; EZW coding; M-adaptive coder; M-band wavelet transform; PSNR; compression ratio; embedded zero wavelet tree coding technique; image compression; quantization; Band pass filters; Discrete cosine transforms; Discrete wavelet transforms; Filter bank; Image coding; Low pass filters; PSNR; Quantization; Signal resolution; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    0-7803-9403-8
  • Type

    conf

  • DOI
    10.1109/SSP.2005.1628718
  • Filename
    1628718