• DocumentCode
    3402913
  • Title

    Lossy compression of images without visible distortions and its application

  • Author

    Lukin, Vladimir V. ; Zriakhov, Mikhail S. ; Ponomarenko, Nikolay N. ; Krivenko, Sergey S. ; Zhenjiang, Miao

  • Author_Institution
    Dept of Transmitters, Receivers & Signal Process. (504), Nat. Aerosp. Univ., Kharkov, Ukraine
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    698
  • Lastpage
    701
  • Abstract
    It is shown that images can be subject to lossy compression in such a way that introduced distortions are not visible. For this purpose, two modern visual quality metrics, MSSIM and PSNR-HVS-M, can be used. Their values are to be provided not less than 0.99 and 40 dB, respectively, and the corresponding lossy compression is to be carried out. Attained compression ratio (CR) depends upon image properties and a coder used. The proposed methodology of lossy compression can be successfully exploited in remote sensing and medical imaging with producing CR by several times larger than the best lossless image compression techniques.
  • Keywords
    image coding; MSSIM; PSNR-HVS-M; compression ratio; lossy compression; visual quality metric; Gray-scale; Image coding; Measurement; Observers; PSNR; Transform coding; Visualization; applications; invisible distortions; lossy compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655751
  • Filename
    5655751