• DocumentCode
    3164294
  • Title

    Wavelet-based compression of digital HDTV for studio recording

  • Author

    Vlachos, T.

  • Author_Institution
    R&D, BBC, UK
  • fYear
    1995
  • fDate
    4-6 Jul 1995
  • Firstpage
    316
  • Lastpage
    320
  • Abstract
    A novel intraframe source coding algorithm suitable for the recording of digital high definition television signals is presented. A multi-layered, hierarchical description of the source signal is obtained by means of a quad-tree, half-band wavelet transform. This transform decomposes the input signal into a collection of spectrally non-overlapping subbands. Individual subbands are quantised and entropy coded by using a novel predictive arithmetic coding technique. The algorithm is tuned to achieve bit-rate reduction ratios in the range 8:1-4:1 which is most useful for recording applications. Results obtained from simulating the coding algorithm, show noticeable improvement over the current state-of-the-art international standard algorithm for still picture encoding both in terms of subjective quality and of measured mean-square error
  • Keywords
    arithmetic codes; digital television; entropy codes; high definition television; prediction theory; quadtrees; source coding; television studios; transform coding; video coding; video recording; wavelet transforms; bit-rate reduction ratios; coding algorithm; digital HDTV; entropy coded subbands; half-band wavelet transform; input signal decomposition; international standard algorithm; measured mean-square error; multi-layered hierarchical description; predictive arithmetic coding; quad-tree; source signal; spectrally non-overlapping subbands; still picture encoding; studio recording; subjective quality; wavelet-based compression;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1995., Fifth International Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-85296-642-3
  • Type

    conf

  • DOI
    10.1049/cp:19950672
  • Filename
    465539