• DocumentCode
    3421052
  • Title

    A fast and low complexity image codec based on backward coding of wavelet trees

  • Author

    Guo, Jiangling ; Mitra, Sunanda ; Nutter, Brian ; Karp, Tanja

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Tech. Univ., Lubbock, TX, USA
  • fYear
    2006
  • fDate
    28-30 March 2006
  • Firstpage
    292
  • Lastpage
    301
  • Abstract
    A new approach of backward coding of wavelet trees (BCWT) is presented. Contrary to the common "forward" coding of wavelet trees from the highest level (lowest resolution), the new approach starts coding from the lowest level and goes backward by building a map of maximum quantization levels of descendants. BCWT eliminates several major bottlenecks of existing wavelet-tree-based codecs, namely tree-scanning, bitplane coding and dynamic lists management. Compared to SPIHT, BCWT encodes and decodes up to eight times faster without sacrificing PSNR. At the same time, BCWT provides desirable features such as low complexity, low memory usage, and resolution scalability.
  • Keywords
    codecs; image coding; image resolution; quantisation (signal); tree codes; wavelet transforms; PSNR; backward coding; bitplane coding; dynamic lists management; forward coding; image codec; maximum quantization levels; tree-scanning; wavelet trees; wavelet-tree-based codecs; Codecs; Computational efficiency; Computer vision; Decoding; Image analysis; Image coding; PSNR; Quantization; Scalability; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2006. DCC 2006. Proceedings
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2545-8
  • Type

    conf

  • DOI
    10.1109/DCC.2006.2
  • Filename
    1607264