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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Still image coding based on vector quantization and fractal approximation.

I K Kim1, R H Park

  • 1Dept. of Electr. Eng., Sogang Univ., Seoul.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image coding algorithm using vector quantization (VQ) and fractal approximation. The new method improves still image encoding performance compared to traditional fractal coding techniques.

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Area of Science:

  • Digital image processing
  • Computer vision
  • Data compression

Background:

  • Traditional fractal coding relies on contraction mapping and original image gray patterns.
  • Existing methods face limitations in approximating image components efficiently.

Purpose of the Study:

  • To develop an improved still image coding algorithm.
  • To enhance fractal coding by removing the contraction mapping constraint.
  • To leverage vector quantization and discrete cosine transform for image approximation.

Main Methods:

  • Approximation of low-frequency image components using vector quantization (VQ).
  • Fractal mapping for coding the residual image.
  • Utilizing a discrete cosine transform (DCT) for image approximation.
  • Employing fractal dimension for variable block-size segmentation.

Main Results:

  • The proposed algorithm achieves better performance than conventional fractal coding methods.
  • Demonstrated superior still picture encoding efficiency.
  • Successful application of fractal approximation without contraction mapping.

Conclusions:

  • The novel VQ and fractal approximation coding algorithm offers enhanced performance for still image compression.
  • The method provides a flexible approach to fractal coding by utilizing approximated and decimated images.
  • Fractal dimension proves effective for adaptive block segmentation in image coding.