• DocumentCode
    3266264
  • Title

    Elements of adaptive wavelet image compression

  • Author

    Forkert, Richard D.

  • Author_Institution
    Image Processing Res. Lab., Mitre Corp., Bedford, MA, USA
  • fYear
    1996
  • fDate
    Mar/Apr 1996
  • Firstpage
    435
  • Abstract
    The adaptive wavelet image compression (AWIC) algorithm is a fast, simple wavelet-based image compression technique that follows the classical paradigm of image transformation, quantization, and entropy encoding. A key component of AWIC is a technique of channel symbol definition that provides greatly reduced Huffman table encoding costs, allowing optimal Huffman codewords to be generated and used for each level of the wavelet transformed image. Further optimizations for compression performance were achieved through empirical studies
  • Keywords
    Huffman codes; adaptive codes; data compression; entropy codes; image coding; optimisation; transform coding; wavelet transforms; AWIC; Huffman table encoding costs; adaptive wavelet image compression; channel symbol definition; compression performance; entropy encoding; image transformation; optimal Huffman codewords; quantization; wavelet transformed image; Cost function; Decoding; Entropy; Image coding; Image processing; Laboratories; Quantization; Statistics; Streaming media; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1996. DCC '96. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7358-3
  • Type

    conf

  • DOI
    10.1109/DCC.1996.488367
  • Filename
    488367