Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
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Spatial Contrast Enhancement using Local Statistics based on Genetic Algorithm

  • Choo, MoonWon (Department of Media Software, Sungkyul University)
  • Received : 2016.06.27
  • Accepted : 2017.06.29
  • Published : 2017.06.30
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Abstract

This paper investigates simple gray level image enhancement technique based on Genetic Algorithms and Local Statistics. The task of GA is to adapt the parameters of local sliding masks over pixels, finding out the best parameters preserving the brightness and possibly preventing the creation of intensity artifacts in the local area of images. The algorithm is controlled by GA as to enhance the contrast and details in the images automatically according to an object fitness criterion. Results obtained in terms of subjective and objective evaluations, show the plausibility of the method suggested here.

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References

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