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Related Experiment Video

Updated: Jul 7, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Combining fractal image compression and vector quantization.

R Hamzaoui1, D Saupe

  • 1Inst. fur Inf., Leipzig Univ., Germany. hamzaoui@informatik.uni-leipzig.de

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel approach to fractal image compression using vector quantization to speed up domain block searches. This method enhances rate-distortion performance and decoding speed for fractal image coders.

Related Experiment Videos

Last Updated: Jul 7, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

  • Digital image processing
  • Data compression algorithms
  • Fractal geometry applications

Background:

  • Fractal image compression relies on contractive mappings for image approximation.
  • The search for suitable domain blocks is a computationally intensive bottleneck.
  • Existing fractal coders often exhibit suboptimal rate-distortion performance.

Purpose of the Study:

  • To accelerate the domain block search in fractal image compression.
  • To improve the rate-distortion performance of fractal image coders.
  • To enhance the decoding speed of fractal image compression techniques.

Main Methods:

  • Utilized a clustering algorithm to design fixed vectors from training images.
  • Implemented a supplementary vector quantization codebook.
  • Developed two quadtree-based schemes: a top-down heuristic and a Lagrange multiplier method.

Main Results:

  • Achieved significant acceleration in domain block search.
  • Demonstrated improved rate-distortion performance.
  • Reported a peak-signal-to-noise ratio of 32.50 dB at 0.25 bpp for the Lena image (8 bits/pixel).

Conclusions:

  • The proposed vector quantization approach effectively optimizes fractal image compression.
  • The method enhances both compression efficiency and decoding speed.
  • This technique offers a promising advancement in practical fractal image coding.