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Low-rate and flexible image coding with redundant representations.

Rosa M Figueras i Ventura1, Pierre Vandergheynst, Pascal Frossard

  • 1Signal Processing Institute, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne. rosa.figueras@epfl.ch

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|March 8, 2006
PubMed
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This study introduces an adaptive image coding method using matching pursuit (MP) for efficient signal decomposition. The novel approach achieves low bit-rate compression comparable to JPEG2000 and SPIHT, offering superior visual quality and stream flexibility.

Area of Science:

  • Digital Signal Processing
  • Image Compression
  • Computer Vision

Background:

  • Natural images contain edge characteristics crucial for efficient coding.
  • Existing methods like JPEG2000 and SPIHT face limitations at very low bit rates.
  • Nonseparable basis functions offer potential for improved signal decomposition.

Purpose of the Study:

  • To develop an adaptive low bit-rate image coding method.
  • To represent images using a sum of two-dimensional features.
  • To improve visual quality and stream flexibility in image compression.

Main Methods:

  • Image representation via matching pursuit (MP) expansion.
  • Utilizing a dictionary of anisotropic and rotated contour-like atoms.
  • Adaptive signal decomposition for efficient feature extraction.

Related Experiment Videos

Main Results:

  • Achieved compression performance comparable to JPEG2000 and SPIHT at low bit rates.
  • Demonstrated superior visual quality with fewer annoying artifacts compared to wavelet-based methods.
  • Enabled flexible bitstream decoding at various spatial resolutions and bandwidths.

Conclusions:

  • The proposed MP-based image coder is effective for low to medium rate compression.
  • Offers enhanced visual fidelity and adaptable stream structures for visual communication.
  • Presents a flexible and efficient alternative to current state-of-the-art image compression techniques.