• DocumentCode
    302222
  • Title

    Adaptive subsampling for image compression

  • Author

    Panusopone, K. ; Cheevasuvi, F. ; Rao, K. Raghava

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    Oct. 30 1995-Nov. 1 1995
  • Firstpage
    239
  • Abstract
    From the nonstationary nature of practical images, the standard sampling scheme at the Nyquist rate yields redundant output in the uniform regions. This paper focuses on this problem by selectively subsampling in the background area. This process still yields high quality output because the background area is simply a bandlimited signal or its Nyquist rate is lower than that of the detail area. This effect contributes to the much higher compression rate in the uniform regions and thereby for the entire image while maintaining the same quality as the standard compression techniques.
  • Keywords
    Nyquist criterion; adaptive signal processing; data compression; image coding; image sampling; image segmentation; Nyquist rate; adaptive subsampling; background area; bandlimited signal; image compression; practical images; redundant output; uniform regions; Frequency; Image coding; Image converters; Image resolution; Image sampling; Lattices; Low pass filters; Matched filters; Signal processing; Signal sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-7370-2
  • Type

    conf

  • DOI
    10.1109/ACSSC.1995.540548
  • Filename
    540548