IMAGE ENHANCEMENT COMPARISON USING HISTOGRAM EQUALIZATION AND FUZZY LOGIC TECHNIQUES

Shefali Dhingra; Shikha Bhardwaj

Authors

Shefali Dhingra Assistant Professor, ECE Department, University Institute of Engineering and Technology, Kurukshetra University, Haryana, India
Shikha Bhardwaj Assistant Professor, ECE Department, University Institute of Engineering and Technology, Kurukshetra University, Haryana, India

Abstract

Image enhancement is a method of improving the quality of an image and contrast is a major aspect. Traditional methods of contrast enhancement like histogram equalization results in over/under enhancement of the image especially a lower resolution one. We aim at developing a new Fuzzy Inference System to enhance the contrast of the low resolution images overcoming the shortcomings of the traditional methods. Results obtained using both the approaches are compared.

References

I. S.D. Chen, & A. R. Ramli, 2003, ‘Contrast enhancement using Recursive Mean-separate Histogram Equalization for scalable brightness preservation’, IEEE Transactions on Consumer Electronics, Vol. 49, No. 4, pp.1301-1309.

II. H. Ibrahim, & N.S.P. Kong, 2007, ‘Brightness preserving dynamic histogram equalization for image contrast enhancement’, IEEE Trans. Consum. Electron. Vol.53, pp.1752–1758

III. Yen-Ching Chang & Chun-Ming Chang, 2010, ‘A Simple Histogram Modification Scheme for Contrast Enhancement’, IEEE Transactions on Consumer Electronics, Vol. 56, No. 2.

IV. V. Magudeeswaran and C. G. Ravichandran, “Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement,” Mathematical Problems in Engineering, vol. 2013,

IMAGE ENHANCEMENT COMPARISON USING HISTOGRAM EQUALIZATION AND FUZZY LOGIC TECHNIQUES

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