Wavelet Image Coding with Entropy-Constrained Zerotree Quantization

DOI 10 References
  • Yang kai
    Doctor Program in Engineering, University of Tsukuba
  • Kudo Hiroyuki
    Institute of Information Sciences and Electronics, Universitv of Tsukuba
  • Saitou Tsuneo
    Institute of Information Sciences and Electronics, Universitv of Tsukuba

Bibliographic Information

Other Title
  • エントロピー制約ゼロツリー量子化を用いたウェーブレット画像符号化

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Description

Wavelet transform has some localization properties both in space and frequency, which allows to compact the signal energy both in space and frequency. This paper addresses the problems of how to exploit the spatial and frequency compaction property of the wavelet transform, and how to design a wavelet transform coding system optimally in the rate and distortion sense. We formulate the optimization problem and propose a novel approach to solve it. A new coding algorithm is developed for the new scheme. We suggest that the spatial compaction exploitation leads to an efficient coding in the sense that we can exploit the frequency compaction property based on the result of the spatial compaction exploitation. Experimental results demonstrate that the performance of the coding system is competitive with those of other current coding systems.

Journal

  • ITE Technical Report

    ITE Technical Report 21.78 (0), 67-72, 1997

    The Institute of Image Information and Television Engineers

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Details 詳細情報について

  • CRID
    1390282679500440448
  • NII Article ID
    110003691045
  • NII Book ID
    AN1059086X
  • DOI
    10.11485/itetr.21.78.0_67
  • ISSN
    24241970
    13426893
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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