• DocumentCode
    2830549
  • Title

    Construction of error resilient synchronization codeword for variable-length code in image transmission

  • Author

    Lee, Yew-Sun ; Wei-Shin Chang ; Ho, Hsin-Han ; Lee, Chen-Yi

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    360
  • Abstract
    Variable-length code (VLC), also called Huffman (1952) code, is the most popular data compression technique used for image compression and transmission. But, it is vulnerable to loss of synchronization under transmission in a noisy channel. It will result in large drops in video transmission quality. For stopping error propagation, a synchronization codeword (SC) is mostly used to localize the error propagation effect. However, most of the SC cannot tolerate noise errors. We propose an iterative and efficient algorithm to construct error resilient and variable-length SC for any application defined VLC table. They can be used for synchronization of packet (ERVL-SOP). It can be appended at the end of certain number of symbols to form a packet. Thus, channel noise error can be localized. With the use of the constructed SC as the SOP, the result shows that it can achieve high signal-to-noise ratio (PSNR=26 dB) compared to the use of the normal VLC code as SOP at a bit error rate (BER) of 10-3. In addition, the incorrect ERVL-SOP detection rate can be decreased to less than 0.0013% effectively
  • Keywords
    Huffman codes; data compression; error statistics; image coding; iterative methods; variable length codes; visual communication; BER; Huffman code; PSNR; bit error rate; channel noise error; data compression; detection rate; efficient algorithm; error propagation; error resilient synchronization codeword; high signal-to-noise ratio; image compression; image transmission; iterative algorithm; noise errors; noisy channel; packet synchronization; variable-length code; video transmission quality; Bit error rate; Data compression; Image coding; Image communication; Iterative algorithms; Propagation losses; Signal to noise ratio; Transform coding; Video compression; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899398
  • Filename
    899398