Browse > Article
http://dx.doi.org/10.9717/JMIS.2016.4.2.1

Spatial Contrast Enhancement using Local Statistics based on Genetic Algorithm  

Choo, MoonWon (Department of Media Software, Sungkyul University)
Publication Information
Journal of Multimedia Information System / v.4, no.2, 2017 , pp. 89-92 More about this Journal
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.
Keywords
contrast enhancement; genetic algorithm; image enhancement; image local statistics;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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.   DOI
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.   DOI
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.   DOI
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.   DOI