A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation
Keywords:
Histogram Equalization, MMBEBHE, BI-Histogram EqualizationAbstract
Histogram Equalization (HE) is a simple and effective image enhancement technique. But, it tends to change the mean brightness of the image to the middle level of the permitted range, and hence is not a very suitable for consumer product. While preserving the original brightness is essential to avoid annoying artifacts. To preserve brightness and to enhance contrast of image, numerous methods are introduced, but many of them present unwanted artefacts such as intensity saturation, over-enhancement and noise amplification. In the present project , available histogram equalization based methods will be reviewed and compared with image contrast.
References
Raju. A, Dwarakish. S. G and D. Venkat Reddy, “International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6, No.5, p.p.353-366, (2013).
Karen A Panetta, Eric J. Wharton, Sos S. Agaian, “IEEE Transactions on Systems, Man and Cybernetics-Part B:Cybernetics, Vol 38, No-1, Feb-2008.
David Menotti, Laurent Najman, Jacques Facon and Arnaldo de A. Araujo on “Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving” , IEEE Transactions on Consumer Electronics, Vol-53, No-3, August-2007.
Rafael C Gonzalez and Richard E Woods, Digital Image Processing, Pearson Education, Second Edition, 2002.
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