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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

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Published on: August 30, 2013

Region-based fractal image compression.

H Hartenstein1, M Ruhl, D Saupe

  • 1Comput. and Commun. Res. Labs., NEC Eur. Ltd., Heidelberg. Hannes.Hartenstein@ccrle.nec.de

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 12, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient fractal image coder using a region-merging approach. The new method improves compression performance and speed over existing fractal coding techniques.

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Area of Science:

  • Digital image processing
  • Computer vision
  • Data compression algorithms

Background:

  • Fractal coding represents images using self-similarities.
  • Previous fractal coders often lack efficiency and adaptability.
  • Image compression remains a critical area in digital technology.

Purpose of the Study:

  • To develop a time-efficient fractal image coder.
  • To enhance the rate-distortion performance of fractal coding.
  • To create image-adaptive partitions for fractal codes.

Main Methods:

  • A novel region-merging strategy for partition generation.
  • Development of a fractal coder utilizing image-adaptive partitions.
  • Comparative analysis against existing fractal coding methods.

Main Results:

  • The proposed fractal coder achieves improved rate-distortion performance.
  • The region-merging approach results in a faster coding process.
  • Enhanced adaptability of partitions to image content.

Conclusions:

  • The presented fractal coder offers superior performance and efficiency.
  • Region-merging is an effective strategy for adaptive fractal coding.
  • This method advances the state-of-the-art in fractal image compression.