• DocumentCode
    456533
  • Title

    Improvement of the compression JPEG 2000 quality by Denoising Filters

  • Author

    Kacem, H.L.H. ; Bouhlel, Mohamed Salim

  • Author_Institution
    Res. Group: Sci., Image Technol. & Telecommun., High Inst. of Biotechnol., Sfax
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2012
  • Lastpage
    2019
  • Abstract
    For communication and storage efficiency, image data should be substantially compressed. The compression ratio is limited by noise, which degrades the correlation between pixels. Noise can occur during image capture, transmission or processing, and may be dependent on or independent of image content. In this paper, we use standard filters that permit the removal of some details of the image and the reduction of all possible noise. After filtering, the image is compressed with JPEG2000. By discarding the noise, the compression ratio can be improved. This method was verified using 30 images. This technique can increase the ratio without significantly affecting the image quality. This process has a great impact on storage and transmission
  • Keywords
    data compression; filtering theory; image coding; image denoising; JPEG 2000 compression quality; denoising filters; image compression; Degradation; Filtering; Frequency; Image coding; Image storage; Noise reduction; Nonlinear filters; Pixel; Transform coding; Wiener filter; JPEG2000; filter; pre-treatment; rwPSNR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684699
  • Filename
    1684699