• DocumentCode
    2280272
  • Title

    Spatial-temporal decorrelation for image/video coding

  • Author

    Wang, Miaohui ; Ngan, King Ngi ; Xu, Long

  • Author_Institution
    Dept. of Electr. Eng., Chinese Univ. of Hongkong, Hong Kong, China
  • fYear
    2012
  • fDate
    7-9 May 2012
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    Modern image/video compression techniques greatly help to store and transmit digital images and video data. Discrete wavelet transform is used in JPEG2000 because of its scalability and tolerable degradation. In H.264/AVC, predictive coding is employed to remove spatial redundancy before discrete cosine transform. In this paper, we propose a new encoder structure combining both advantages from JPEG2000 [1] and H.264/AVC [2], which firstly utilizes the proposed spatial transform to decompose a single image into several sub-images and then employs motion compensation to convert the conventional spatial decorrelation into temporal decorrelation. Experimental results show that our proposed method outperforms the state-of-the-art image coding algorithms and achieves better rate-distortion performance.
  • Keywords
    data compression; discrete cosine transforms; discrete wavelet transforms; image coding; motion compensation; video coding; H.264-AVC; JPEG2000; digital images; discrete cosine transform; discrete wavelet transform; encoder structure; image-video coding; image-video compression techniques; motion compensation; rate-distortion performance; spatial decorrelation; spatial transform; spatial-temporal decorrelation; temporal decorrelation; video data; Correlation; Decorrelation; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Transform coding; Discrete cosine transform(DCT); Discrete wavelet transform(DWT); Image/video coding; Spatial-temporal decorrelation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2012
  • Conference_Location
    Krakow
  • Print_ISBN
    978-1-4577-2047-5
  • Electronic_ISBN
    978-1-4577-2048-2
  • Type

    conf

  • DOI
    10.1109/PCS.2012.6213327
  • Filename
    6213327