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Image coding using wavelet transforms and entropy-constrained trellis-coded quantization.

P Sriram1, M W Marcellin

  • 1Digital Commun. Div., Rockwell Int. Corp., Newport Beach, CA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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This study explores using entropy-constrained trellis-coded quantization (ECTCQ) for wavelet image compression. The nine-tap spline filter approach offers superior image quality, though with increased computation.

Area of Science:

  • Image processing
  • Digital signal processing
  • Data compression

Background:

  • Discrete wavelet transform (DWT) is effective for multi-resolution image decomposition.
  • Multi-resolution decomposition is key for high-quality, low bit-rate image coding.
  • Entropy-constrained trellis-coded quantization (ECTCQ) is efficient for memoryless source quantization.

Purpose of the Study:

  • Investigate ECTCQ for encoding wavelet coefficients in monochrome and color images.
  • Compare performance of different wavelet filter banks for image compression.
  • Evaluate the effectiveness of ECTCQ in wavelet-based image coding.

Main Methods:

  • Applied ECTCQ to wavelet coefficients from Johnston's quadrature mirror filter bank and nine-tap spline filters.

Related Experiment Videos

  • Utilized biorthogonal wavelet bases for filter construction.
  • Encoded monochrome and color 512x512 "Lenna" images.

    • Main Results:

    • Nine-tap spline filters yielded marginally superior encoded images compared to Johnston's filters.
    • Achieved excellent peak-signal-to-noise ratios for "Lenna" image compression.
    • The proposed wavelet coder demonstrated competitive performance against existing methods.

    Conclusions:

    • Nine-tap spline filters offer improved image quality in wavelet-based compression at a higher computational cost.
    • ECTCQ is a viable and competitive method for wavelet image coding.
    • The developed system achieves excellent compression results for standard test images.