• DocumentCode
    3573518
  • Title

    Embedded Region-Based Image Coding using Integer Wavelet and Single Quadtree Partitioning

  • Author

    Zhang, Li-bao

  • Author_Institution
    Beijing Normal Univ., Beijing
  • Volume
    1
  • fYear
    2007
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    Region of Interest (ROI) coding belong to the efficient region-based image compression method and is an important feature of JPEG2000 standard. In this paper, a new ROI coding method is proposed. In the method, we utilize the improved SPECK algorithm instead of EBCOT coding recommended by JPEG2000 to encode all scaled coefficients of ROI and BG. Because coefficient clustering and single quadtree partitioning scheme is applied, the presented method has the low computational complexity. Experimental results show that the new method cannot only efficiently encode these bitplanes shifted by Maxshift method or the general scaling based method, but also obtains lower algorithm complexity than these methods using EBCOT in JPEG2000.
  • Keywords
    computational complexity; data compression; image coding; quadtrees; wavelet transforms; EBCOT methods; JPEG2000 standard; Maxshift method; SPECK algorithm; coefficient clustering; computational complexity; embedded region-based image coding; integer wavelet; quadtree partitioning scheme; region of interest; Clustering algorithms; Cybernetics; Educational institutions; Image coding; Image storage; Machine learning; Partitioning algorithms; Propagation losses; Transform coding; Wavelet transforms; EBCOT; Eegion of interest; Image coding; JPEG2000; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370169
  • Filename
    4370169