• DocumentCode
    1655308
  • Title

    Fractal image coding combined with subband decomposition

  • Author

    Sawada, Katsutoshi ; Nagai, Shin-ya ; Nakamura, Eiji

  • Author_Institution
    Aichi Inst. of Technol., Japan
  • Volume
    3
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1347
  • Abstract
    In order to improve the performance of fractal image coding, this paper proposes a new coding scheme which is combined with subband image decomposition. In the proposed scheme, an input image is first decomposed to low and high resolution components by subband decomposition. The fractal block coding with adaptive range block size is performed only for the lowest resolution component. On the other hand, direct quantization and entropy coding are carried out for the other resolution components. The residual difference between reconstructed and original lowest resolution components is also quantized and entropy coded in order to enhance the coding performance. The computer simulation results show that the proposed coding scheme gives higher SNR (signal-to-noise ratio) values and better reconstructed image qualities compared to the conventional fractal block coding scheme
  • Keywords
    adaptive codes; entropy codes; fractals; image coding; image reconstruction; image resolution; quantisation (signal); SNR; adaptive range block size; coding performance; direct quantization; entropy coding; fractal image coding; high resolution components; low resolution components; reconstructed components; reconstructed image qualities; residual difference; signal-to-noise ratio; subband image decomposition; Block codes; Computer simulation; Entropy coding; Fractals; Image coding; Image decomposition; Image reconstruction; Image resolution; Quantization; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
  • Print_ISBN
    0-7803-7057-0
  • Type

    conf

  • DOI
    10.1109/ICECS.2001.957463
  • Filename
    957463