• DocumentCode
    2084474
  • Title

    Images Compression Using Dual Tree Complex Wavelet Transform

  • Author

    Fang, Li Hui ; Feng, Miao Guo ; Jie, Xu Hou

  • Author_Institution
    Sch. of Electron. Inf., Northwestern Polytech. Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    559
  • Lastpage
    562
  • Abstract
    In this paper, a new image compression algorithm that is based on DT-CWT and SPIHT is presented. Approximate shift invariance, good directional selectivity, computational efficiency properties of DT-CWT make it a good candidate for image compression. A modified SPIHT algorithmic, named as simple SPIHT, is introduced in order to increase its efficiency for image compression. The proposed simple SPIHT algorithms, which is based on not only the relationship between the bit-planes and the target bit-rate but also the relationship between the initial threshold and the target bit-rate, can effectively reduce the computation time and required memory space. Experimental results show that the proposed image compression method is efficient in terms of compression performance.
  • Keywords
    data compression; image coding; wavelet transforms; bit-planes; computation time reduction; computational efficiency properties; directional selectivity; dual tree complex wavelet transform; image compression algorithm; initial threshold; memory space; modified SPIHT algorithmic; shift invariance; target bit-rate; Discrete wavelet transforms; Filter bank; Image coding; Image reconstruction; PSNR; PSNR; SPIHT; discrete wavelet transform; dual tree complex wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.213
  • Filename
    5572546