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Image coding by block prediction of multiresolution subimages.

R Rinaldo1, G Calvagno

  • 1Dipartimento di Elettronica e Inf., Padova Univ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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This study introduces a novel image coder leveraging causal similarity across subbands in multiresolution decomposition. The new method offers superior visual quality and mean squared error (MSE) performance compared to fractal and JPEG coders.

Area of Science:

  • Computer Vision
  • Image Processing
  • Signal Processing

Background:

  • Fractal image compression exploits self-similarity within images.
  • Multiresolution representations offer inherent redundancy for image compression.
  • General image compression has not fully exploited multiresolution redundancy.

Purpose of the Study:

  • To develop an image coder exploiting causal similarity between blocks in different subbands of a multiresolution decomposition.
  • To improve image compression efficiency and quality beyond existing fractal and standard coders.

Main Methods:

  • Utilizes a pyramid subband decomposition to create scale, orientation, and space-localized subimages.
  • Employs a prediction scheme where blocks in one subimage are predicted from lower-resolution subbands of the same orientation.

Related Experiment Videos

  • Avoids contractivity constraints on block maps, simplifying decoding and enabling direct Mean Squared Error (MSE) evaluation.

    • Main Results:

    • The subband pyramid acts as an automatic block classifier, simplifying block search and improving matching effectiveness.
    • Achieves superior performance in both visual quality and MSE compared to standard fractal block coders.
    • Outperforms popular image coders like JPEG in experimental evaluations.

    Conclusions:

    • The proposed causal similarity-based image coder offers significant advantages over existing methods.
    • Exploiting redundancy across subbands in multiresolution decomposition is a promising direction for advanced image compression.
    • The technique provides a simpler decoding process and more effective block matching for enhanced image compression.