• DocumentCode
    2980371
  • Title

    Low bit rate image compression by two layer wavelet and contourlet transforms

  • Author

    Esfandarani, Hossein Talebi ; Karimi, Nader ; Samavi, Shadrokh

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
  • fYear
    2010
  • fDate
    11-13 May 2010
  • Firstpage
    321
  • Lastpage
    325
  • Abstract
    Low bit rate applications, such as cell phone and wireless transmission of images, require compression schemes that could keep acceptable levels of visual quality of the medium. In this paper a multi layer compression scheme is presented which is intended to preserve the texture details of an image at low bit rates. The first layer uses wavelet transform for extraction of textures. Then in the second layer the strength of the contourlet transform in preservation of textures is employed to compress the highlighted textures of the image. The proposed method is compared with a number of low bit rate methods and proved to be superior to these methods.
  • Keywords
    Bit rate; Image coding; Image reconstruction; Image representation; Information filtering; Information filters; Laplace equations; Partitioning algorithms; Signal processing algorithms; Wavelet transforms; Contourlet; image compression; low bit rate; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2010 18th Iranian Conference on
  • Conference_Location
    Isfahan, Iran
  • Print_ISBN
    978-1-4244-6760-0
  • Type

    conf

  • DOI
    10.1109/IRANIANCEE.2010.5507052
  • Filename
    5507052