• DocumentCode
    3345380
  • Title

    Improved H.264-based video coding using an adaptive transform

  • Author

    Biswas, Moyuresh ; Pickering, Mark R. ; Frater, Michael R.

  • Author_Institution
    Univ. Coll., Sch. of Eng. & Inf. Technol., Univ. of New South Wales at ADFA, Canberra, ACT, Australia
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    In block-based video coding, the Discrete Cosine Transform (DCT) has been adopted for signal decorrelation in state-of-the-art standards. Although the Karhunen Loeve Transform (KLT) is known to achieve optimal energy compaction, it has been reported to offer only moderate compression as the KLT basis functions are source dependent and hence require the transform itself to be coded. This paper describes a technique for prediction-error block coding using the KLT. The proposed method does not require coding of the KLT bases. Instead the basis functions can be derived at the decoder in a manner similar to the encoder. The proposed method is incorporated into a standard H.264 video codec using an adaptive transform selection approach. Our experiments show that the Peak Signal-to-Noise Ratio (PSNR) improvement of up to 0.9 dB is achieved with the proposed technique when compared with the standard H.264 codec.
  • Keywords
    adaptive codes; discrete cosine transforms; transform coding; video codecs; video coding; H.264 video codec; H.264-based video coding; Karhunen Loeve transform; adaptive transform; block-based video coding; discrete cosine transform; noise figure 0.9 dB; optimal energy compaction; prediction-error block coding; signal decorrelation; Decoding; Discrete cosine transforms; Image coding; PSNR; Pixel; Video coding; DCT; H.264; KLT; adaptive transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652136
  • Filename
    5652136