• DocumentCode
    2703685
  • Title

    Improvement of Performance in JPEG2000 Lossy Compression by Signal Modulation

  • Author

    Foroushi, Zohre ; Shirazi, Ali Asghar Beheshti

  • Author_Institution
    Sch. of Electr. Eng., Iran Univ. of Sci. & Technol. Tehran, Tehran, Iran
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    346
  • Lastpage
    349
  • Abstract
    Improvement of performance in sub-band coding system that style in image coding system, is very important. In the coding systems, due to the filter bank that used, coding schemes are classified into two classes, one might have the pair-wise mirror-image property in their filter banks, and performs symmetrically regardless of the sign of the autocorrelation, and the other including JPEG2000 that uses bi-orthogonal 9/7-tap Daubechies filters for lossy compression, has not the mirror image property and performs asymmetrically with inferior performance for negative autocorrelation. In this paper, we want with modulating the negatively-correlated signal sequence by the alternating sign signal with unity magnitude to convert them into positively correlated-sequence. The experimental results for test images show that little gain was obtained by for natural images, since they have small amount of energy in the high frequency bands in horizontal and vertical directions. However 1.5-2dB improvement of PSNR has been obtained for images such as Fingerprint, which have a large amount of energy in high frequency range.
  • Keywords
    Autocorrelation; Filter bank; Frequency; Image coding; Image converters; Mirrors; PSNR; Performance loss; Testing; Transform coding; gain coding; negative correlation; signal modulasion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical/Analytical Modelling and Computer Simulation (AMS), 2010 Fourth Asia International Conference on
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Print_ISBN
    978-1-4244-7196-6
  • Type

    conf

  • DOI
    10.1109/AMS.2010.76
  • Filename
    5489174