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Related Experiment Videos

Transform coefficient histogram-based image enhancement algorithms using contrast entropy.

Sos S Agaian1, Blair Silver, Karen A Panetta

  • 1College of Engineering, University of Texas at San Antonio, San Antonio, TX 78249-0669, USA. sagaian@utsa.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|March 16, 2007
PubMed
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Human visual system-based image enhancement and logarithmic contrast measure.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2008

This study introduces novel image enhancement techniques using logarithmic transform coefficient histograms. These methods improve image quality efficiently by mimicking human visual perception.

Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Human Visual Perception

Background:

  • Histograms are widely used in image processing.
  • Transform coefficient histograms offer unexplored potential for image enhancement.

Purpose of the Study:

  • To explore transform coefficient histograms for image enhancement.
  • To propose and evaluate new image enhancement algorithms based on logarithmic transform domain histograms.

Main Methods:

  • Developed three enhancement methods: logarithmic transform histogram matching, shifting, and shaping with Gaussian distributions.
  • Utilized properties of logarithmic transform domain histograms and histogram equalization.
  • Defined a human visual system-based quantitative measurement for contrast improvement.

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Main Results:

  • Presented experimental results demonstrating the performance of the proposed algorithms.
  • Showcased the effectiveness of logarithmic transform domain histogram manipulation for image enhancement.
  • Validated the quantitative measurement for selecting optimal enhancement parameters.

Conclusions:

  • The proposed logarithmic transform domain histogram methods offer efficient and effective image enhancement.
  • The integration of human visual system principles enhances image contrast quantitatively.
  • This work opens new avenues for applying histogram techniques in the transform domain.