• DocumentCode
    3109603
  • Title

    Optimizing the Pictorial Compacted Data Detection Process for Working at the Noisy Environment, Using Reversible Symmetrical Codes

  • Author

    Shafafi, Kamran ; Samanfar, Amin ; Saremian, Emadodin ; Moradtalab, Omid

  • Author_Institution
    Dept. of Electr. Engireering, Islamic Azad Univ., Khorramabad, Iran
  • fYear
    2009
  • fDate
    16-18 Dec. 2009
  • Firstpage
    480
  • Lastpage
    484
  • Abstract
    Variable-length codes, using source statistical features, improve the encoding. However, using these codes can results in error propagation in bit string transmitted to noisy transmission environments. This paper has used reversible symmetrical codes in the bit string obtained from JPEG compressor in order to overcome this problem. several examples of reversible code design algorithm have been reviewed and a symmetrical code based on Huffman code has been analyzed and deigned for JPEG compressor. JPEG compressor has been simulated by Huffman standard code and by reversible symmetrical code and the amount of their compression has been compared for several pictures Also, optimization of detection trend in noisy condition has been displayed.
  • Keywords
    Huffman codes; error statistics; statistical analysis; Huffman code; JPEG compressor; encoding; error propagation; noisy environment; pictorial compacted data detection process; reversible code design algorithm; reversible symmetrical codes; source statistical features; variable-length codes; Algorithm design and analysis; Code standards; Discrete cosine transforms; Encoding; Image coding; Image converters; Noise figure; Pixel; Transform coding; Working environment noise; H-263-mp6-4- reversible variable – length code; Huffman code; compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Multimedia Technology, 2009. ICIMT '09. International Conference on
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-0-7695-3922-5
  • Type

    conf

  • DOI
    10.1109/ICIMT.2009.76
  • Filename
    5381162