• DocumentCode
    1745722
  • Title

    Wavelet coding with fractal for image sequences

  • Author

    Wu, Meng

  • Author_Institution
    Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    Based on the underlying performance of fractals and DWT, one new method using fractal-based self-quantization coding to code different subband coefficients of DWT is presented. Within this method we define a kind of mapping structure for parent-child nodes of wavelet coefficients so that finer coefficients can be fractal encoded according to the successive coarser ones. On the other hand, with respect to the HVS model, we assign different error thresholds to different scales and different shape of range blocks to different orientations of the same scale, by which the perceptually lossless high compression ratio can be achieved and the matching process can be quickened dramatically
  • Keywords
    data compression; discrete wavelet transforms; fractals; image coding; image sequences; DWT; discrete wavelet transform; error thresholds; fractal; image compression; image matching; image sequences; self-quantization coding; subband coefficients; wavelet coding; wavelet coefficients; Discrete wavelet transforms; Encoding; Fractals; Geometry; Image coding; Image sequences; Shape; Wavelet coefficients; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    962-85766-2-3
  • Type

    conf

  • DOI
    10.1109/ISIMP.2001.925446
  • Filename
    925446