DOI QR코드

DOI QR Code

Spatial Contrast Enhancement using Local Statistics based on Genetic Algorithm

  • Choo, MoonWon (Department of Media Software, Sungkyul University)
  • 투고 : 2016.06.27
  • 심사 : 2017.06.29
  • 발행 : 2017.06.30

초록

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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참고문헌

  1. C. Munteanu, "Towards automatic image enhancement using genetic algorithms," Evolutionary Computation, 2000. Proceedings of the 2000 Congress on, Vol. 2., 2000.
  2. Chahat, Mahendra Kumar Patil, "Image Enhancement Using Histogram Equalization Based On Genetic Algorithm," Int'l J. of Engineering Research & Technology, vol.7, Issues 8, pp. 12-17, June 2013.
  3. D. J. Ketcham, R. Lowe, and W. Weber, "Real-time enhancement techniques," Proc. SPIE, Vol. 0074, 1976,
  4. D. Y. Lee, J. H. Kim, "An Image Contrast Enhancement Method based on Pyramid Fusion Using BBWE and MHMD," J. of Korea Multimedia Society, Vol. 16, No. 11, November 2013
  5. M. S. Gaurav, S. K. Mahipal, and D. Manoj, "A Review of Image Enhancement Techniques in Image Precessing," HCTL, Open IJTIR, Vol. 5, Sept. 2013
  6. M. A. Yousuf and M. R. H.Rakib, "An Effective Image Contrast Enhancement Method Using Global Histogram Equalization," Journal of Scientific Research, Vol. 3, No. 1, pp.43-50, 2001
  7. M. Mitchell, "An Introduction to Genetic Algorithms ," Cambridge: MIT Press,1996
  8. N. M. Sasi and V. K. Jayasree, "Contrast Limited Adaptive Histogram Equalization for Qualitative Enhancement of Myocardial Perfusion Images," Engineering, Vol. 5, No.10B, pp. 326-331, 2013. https://doi.org/10.4236/eng.2013.510B066
  9. P. Gupta, "Contrast Enhancement for Retinal Images using Multi-objective Genetic Algortihm, Int'l J. of Emerging Trends in Engineering and Development, Vol. 1, No. 6, pp.7-10, January 2016
  10. R. Hummel, "Image enhancement by histogram transformation," Comput. Graph. Image Processing, vol. 6, pp. 184-195, 1977. https://doi.org/10.1016/S0146-664X(77)80011-7
  11. R. C. Gonzalez, R. E. Woods, and S. L. Eddins, "Digital Image Processing," 2nd Edition, Pearson Education, New Jersey, 2002.
  12. P. L. Rosin, "Edges: saliency measures and automatic thresholding", Machine Vision and Applications, Vol. 9, pp.139 - 159, 1997. https://doi.org/10.1007/s001380050036
  13. F. Saitoh, "Image Contrast Enhancement Using Genetic Algorithm", Proceedings of IEEE SMC'99, Tokyo, Japan, pp. 899-904
  14. S. Shivangini and U. Arvind, "Image Enhancement Using Genetic Algorithm," Int'l J. of Engineering Research & Technology, Vol.3, Issues 5, May 2014
  15. J. B. Zimmerman, S. M. Pizer, E. V. Staa, J. R. Perry, W. McCartney and B. C. Brenton, "An Evaluation of the Effectiveness of Adaptive Histogram Equalization for Contrast Enhancement," IEEE Transactions of Medical Imaging, Vol. 7, No. 4, pp. 304-312, 1988. https://doi.org/10.1109/42.14513