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Related Experiment Videos

Image coding using variable-rate side-match finite-state vector quantization.

R F Chang1, W T Chen

  • 1Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1993
PubMed
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A new variable-rate encoding algorithm, classifier-based side-match finite-state vector quantization (CSMVQ), improves image compression for broadband integrated services digital networks (B-ISDN). CSMVQ achieves significant gains over existing methods at lower bit rates.

Area of Science:

  • Telecommunications Engineering
  • Digital Signal Processing
  • Image Compression

Background:

  • Broadband Integrated Services Digital Network (B-ISDN) enables diverse information transmission (voice, data, image).
  • Variable-rate encoding is preferred over fixed-rate for efficient image compression in B-ISDN.
  • Existing Side-Match Finite-State Vector Quantization (SMVQ) uses fixed-size state codebooks.

Purpose of the Study:

  • To introduce a novel variable-rate encoding algorithm, Classifier-based Side-Match Finite-State Vector Quantization (CSMVQ).
  • To enhance image compression efficiency for B-ISDN environments.
  • To adapt state codebook size based on image vector characteristics.

Main Methods:

  • Development of a block classifier to predict vector characteristics.

Related Experiment Videos

  • Dynamic adjustment of state codebook size in SMVQ based on classifier output.
  • Implementation and experimental evaluation of the CSMVQ algorithm.

    • Main Results:

    • CSMVQ demonstrated up to 1.761 dB improvement over standard SMVQ at lower bit rates.
    • CSMVQ achieved up to 3 dB improvement over standard Vector Quantization (VQ) at similar bit rates.
    • The algorithm effectively adapts to varying image vector complexities.

    Conclusions:

    • CSMVQ offers superior image compression performance for B-ISDN compared to existing SMVQ and VQ.
    • The adaptive state codebook size is key to CSMVQ's efficiency.
    • This variable-rate approach is highly suitable for future B-ISDN image transmission.