• DocumentCode
    1825751
  • Title

    Image Compression Algorithm Based on Decreasing Bits Coding

  • Author

    Che, Shengbing ; Che, Zuguo ; Wang, Haiyang ; Huang, Qiangbo

  • Author_Institution
    Coll. of Comput. Sci., Central South Univ. of Forestry & Technol., Changsha, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    217
  • Lastpage
    220
  • Abstract
    In this paper, a new image compression algorithm based on decreasing bits coding, a conception of compression cell, and compression operator about a number of consecutive Z are put forward. The basic idea is as follows. First, wavelet coefficients, with adaptive threshold to determine the relationship are divided into three situations. They are positive P greater than or equal to the threshold, a negative N greater than or equal to the threshold, and Z less than the threshold. Then, it encodes in accordance with the order of character encoding, decreasing bits coding, binary bits encoding. Experiments have showed that the compression algorithm based on decreasing bits coding proposed by the article had a substantial reduction in the encoding length when having the same recovery quality with EZW. And the main scanning saved 35.82% coding bits on average when restored completely, especially in the high compression ratio. The compression effects became more prominent.
  • Keywords
    image coding; wavelet transforms; binary bits encoding; character encoding; decreasing bits coding; image compression; wavelet coefficients; Computer science; Computer security; Educational institutions; Encoding; Forestry; Image coding; Image restoration; Transform coding; Wavelet coefficients; Wavelet transforms; EZW; compression cell; decreasing bits coding; wavelet transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.71
  • Filename
    5284235