• DocumentCode
    691612
  • Title

    Study of Image Compression Based on Wavelet Transform

  • Author

    Wang Yannan ; Zhang Shudong ; Liu Hui

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
  • fYear
    2013
  • fDate
    6-7 Nov. 2013
  • Firstpage
    575
  • Lastpage
    578
  • Abstract
    The key technology of image compression is that image data is transformed, the transformed data is quantized aWavelet Transformnd the quantized data is entropy coding. Using wavelet image compression is a common method of image compression, and this paper uses wavelet transform, multi-resolution analysis and quantization and coding of different scale wavelet coefficients to achieve image compression. And at the same time, the paper adopts two different methods that the first method is to take the low frequency and abandon high frequency and the second method is the threshold method to achieve image compression. For the threshold method, it also takes different research programs in order to achieve high image compression.
  • Keywords
    data compression; image coding; image resolution; quantisation (signal); wavelet transforms; entropy coding; high frequency; image data transformation; low frequency; multiresolution analysis; quantized data; scale wavelet coefficients; threshold method; wavelet image compression; wavelet transform; Image coding; MATLAB; Time-frequency analysis; Wavelet analysis; Wavelet domain; Wavelet transforms; Finite element analysis; Hybrid simulation model; Maglev; Suspension system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-2791-3
  • Type

    conf

  • DOI
    10.1109/ISDEA.2013.536
  • Filename
    6843513