• DocumentCode
    1981960
  • Title

    Comparison of algorithms for image compression

  • Author

    Pooja, B. ; Kulkami, Pragati ; Sneha, J. ; Madhuri, K.L. ; Indumathr, G.

  • Author_Institution
    CMRIT, Bangalore, India
  • fYear
    2011
  • fDate
    14-15 Nov. 2011
  • Firstpage
    259
  • Lastpage
    261
  • Abstract
    The EZW and SPIHT coding are remarkably effective image compression algorithms having the property that the bits in the compressed bit stream are generated in the order of importance yielding a fully embedded code, hi this project the coding techniques for EZW (Embedded zero wavelet coding) and SPHIT (Set partitioning in hierarchical trees) have been developed. The performance analysis of both the algorithms in terms of compression ratio and peak signal to noise ratio (PSNR) for different level of Wavelet decomposition has been implemented with the comparison of results for the images This project provides an easy and efficient method for qualitative and quantitative comparison of different algorithms that can be used for image compression.
  • Keywords
    data compression; image coding; wavelet transforms; EZW coding; PSNR; SPHIT; SPIHT coding; compressed bit stream; embedded zero wavelet coding; image compression algorithms; peak signal to noise ratio; set partitioning in hierarchical trees; wavelet decomposition; DWT; EZW; PSNR; SPIHT;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Recent Technologies in Communication and Computing (ARTCom 2011), 3rd International Conference on
  • Conference_Location
    Bangalore
  • Type

    conf

  • DOI
    10.1049/ic.2011.0094
  • Filename
    6193583