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Visually improved image compression by combining a conventional wavelet-codec with texture modeling.

Marcus J Nadenau1, Julien Reichel, Murat Kunt

  • 1Signal Processing Institute, Swiss Federal School of Technology, CH-1015 Lausanne, Switzerland. nadenau@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 6, 2008
PubMed
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This study introduces a hybrid image compression method (WITCH) that models textures as noise. WITCH achieves higher compression ratios than JPEG2000 while maintaining image quality.

Area of Science:

  • Image processing
  • Computer vision
  • Signal processing

Background:

  • Human perception is sensitive to loss of fine image texture.
  • Wavelet transforms represent texture with numerous low-amplitude coefficients, increasing bitrate costs.
  • Conventional codecs struggle with efficient encoding of stochastic texture information.

Purpose of the Study:

  • To propose a novel hybrid image compression scheme, WITCH (Wavelet-based Image/Texture Coding Hybrid).
  • To efficiently encode stochastic image textures by modeling them as noise processes.
  • To preserve progressive and lossless coding features while improving compression efficiency.

Main Methods:

  • Decomposing images using wavelet transformation.
  • Modeling unstructured or stochastic texture with a noise process characterized by few parameters.

Related Experiment Videos

  • Implementing a hybrid approach: conventional wavelet codec for structural information and model-based coding for texture.

    • Main Results:

    • The WITCH scheme achieves the same subjective image quality as JPEG2000.
    • Compression ratio is increased by more than a factor of two compared to JPEG2000.
    • Low computational complexity and minimal parameter coding costs (0.01 bpp).

    Conclusions:

    • WITCH offers a valuable extension to conventional image codecs.
    • The hybrid approach effectively balances structural and textural information compression.
    • Significant improvements in compression efficiency are demonstrated without compromising visual quality.