• DocumentCode
    2154735
  • Title

    Memory-efficient architecture including DWT and EC for JPEG2000

  • Author

    Guo, Jie ; Wu, Cheng-Ke ; Li, Yun-Song ; Wang, Ke-yan ; Song, Juan

  • Author_Institution
    State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´´an, China
  • fYear
    2008
  • fDate
    20-23 Oct. 2008
  • Firstpage
    2192
  • Lastpage
    2195
  • Abstract
    In this paper, a memory-efficient and high-throughput VLSI architecture, which functionally includes discrete wavelet transform (DWT) and entropy coder (EC), is presented for JPEG2000 implementation. The proposed architecture is made up of line-based DWT using lifting scheme combined with the EC architecture performed in a bit plane parallel coding way. Based on this, an efficient memory strategy for wavelet transform coefficients connecting DWT and EC is designed, using on-chip memory units with the same size as a code block for an image tile with resolution 512×512 and code block size 32×32, the input sampling is up to 45 M pixels/s when EC operates at 100 MHz, yet the memory reduction is over 65%, compared with buffers for transform coefficients in tile size. Such features suit well applications for high-speed as well as low-memory, especially for large-tile image compression.
  • Keywords
    VLSI; codecs; data compression; discrete wavelet transforms; entropy codes; image coding; JPEG2000; VLSI architecture; bit plane parallel coding; code block; discrete wavelet transform; entropy coder; frequency 100 MHz; input sampling; large-tile image compression; line-based DWT; memory reduction; memory-efficient architecture; on-chip memory units; wavelet transform coefficients; Discrete wavelet transforms; Entropy; Image coding; Image resolution; Image sampling; Joining processes; Memory architecture; Pixel; Tiles; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State and Integrated-Circuit Technology, 2008. ICSICT 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2185-5
  • Electronic_ISBN
    978-1-4244-2186-2
  • Type

    conf

  • DOI
    10.1109/ICSICT.2008.4735005
  • Filename
    4735005