• DocumentCode
    3143191
  • Title

    Improved Huffmann code tables for still and video image encoders

  • Author

    Lakhani, Gopal ; Ayyagari, Vamsi

  • Author_Institution
    Texas Tech. Univ., Lubbock, TX, USA
  • fYear
    1995
  • fDate
    9-10 Jun 1995
  • Firstpage
    180
  • Lastpage
    187
  • Abstract
    Deals with the Huffman encoding phase of two well-known compression encoders, one that of the baseline algorithm proposed by JPEG for the compression of still images, and the other that of the H.261 based video encoder. We identify two types of minor redundancies in the input to the encoding phase, and present alternative Huffman code tables. Simulation results on still picture compressions indicate that the proposed redundancy reduction leads to an improvement of the order of 3.35% in the size of the image compressed at 75% quality level, and 5.3% when compressed at the 50% quality level, on the average
  • Keywords
    Huffman codes; data compression; image coding; redundancy; H.261 based video encoder; Huffmann code tables; JPEG baseline algorithm; compression encoders; image encoders; input redundancy reduction; quality level; simulation; still image compression; Biomedical imaging; Brightness; Decorrelation; Discrete cosine transforms; Discrete transforms; Encoding; Image coding; Pixel; Statistics; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on
  • Conference_Location
    Lubbock, TX
  • Print_ISBN
    0-8186-7117-3
  • Type

    conf

  • DOI
    10.1109/CBMS.1995.465432
  • Filename
    465432