Abstract

Image enhancement plays an important role in vision applications. Enhancement is the technique of improving the superiority of a digital stored image. Recently much work is performed in the field of images enhancement. Many techniques have already been proposed up to now for enhancing the digital images. In this paper, we have compared three basic techniques of the image enhancement which are histogram equalization, adaptive histogram equalization and fuzzy enhancement. From the comparison, it has been proved that the fuzzy enhancement performs much better as compared to histogram and adaptive histogram equalization.

References

• Jagatheeswari, P. , S. Suresh Kumar, and M. Rajaram. "Contrast Stretching Recursively Separated Histogram Equalization for Brightness Preservation and Contrast Enhancement. " Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT'09. International Conference on. IEEE, 2009.
• Sun, Xianfang, et al. "Bas-relief generation using adaptive histogram equalization. " Visualization and Computer Graphics, IEEE, 2009.
• Demire1, Hasan, Cagri Ozcinar, and Gho1amreza Anbarjafari. "Sate11ite image contrast enhancement using discrete wave1et transform and singu1ar va1ue decomposition. " Geoscience and Remote Sensing 1etters, IEEE 7. 2: pp. 333-337, 2010.
• Murahira, Kota, Takashi Kawakami, and Akira Taguchi. "Modified histogram equalization for image contrast enhancement. " Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on. IEEE, 2010.
• Iyatomi, Hitoshi, et al. "Automated color normalization for dermoscopy images. " Image Processing (ICIP), 2010 17th IEEE International Conference on. IEEE, 2010.
• Maragatham, G. , S. Md Mansoor Roomi, and T. Manoj Prabu. "Contrast enhancement by object based Histogram Equalization. " Information and Communication Technologies (WICT), 2011 Wor1d Congress on. IEEE, 2011.
• Josephus, Chelsy Sapna, and S. Remya. "Multilayered Contrast limited Adaptive Histogram Equalization Using Frost Filter. " Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE. IEEE, 2011.
• Jeong, Chang Bu, et a1. "Comparison of image enhancement methods for the effective diagnosis in successive who1e-body bone scans. " Journa1 of digita1 imaging 24. 3,2011.
• Sundaram, M. , K. Ramar, N. Arumugam, and G. Prabin. "Histogram based contrast enhancement for mammogram images. " In Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on, pp. 842-846. IEEE, 2011.
• Ahmed, M. Mahmood, and Jasni Mohamad Zain. "A Study on the Va1idation of Histogram Equa1ization as a Contrast Enhancement Technique. " Advanced Computer Science App1ications and Techno1ogies (ACSAT), 2012 Internationa1 Conference on. IEEE, 2012.
• Soliman, Omar S. , and A. S. Mahmoud. "A classification system for remote sensing satellite images using support vector machine with non-linear kernel functions. " Informatics and Systems (INFOS), 2012 8th International Conferences on. IEEE, 2012.
• Jha, Rajib Kumar, et al. "Internal noise-induced contrast enhancement of dark images. " Image Processing (ICIP), 2012 19th IEEE International Conference on. IEEE, 2012.
• Xu, Hongteng, Guangtao Zhai, and Xiaokang Yang. "No reference measurement of contrast distortion and optimal contrast enhancement. " InPattern Recognition (ICPR), 2012 21st International Conference on, pp. 1981-1984. IEEE, 2012.
• Khairunnisa Hasikin, Nor Ashidi Mat Isa "Enhancement of the low contrast image us-ing fuzzy set theory ", In IEEE 14th International Conference on Modelling and Simulation , pp. 371-376, 2012.
• Weitao Zheng, Tian Pu, Jian Cheng, Hu Zheng "Image contrast enhancement by con-tourlet transform and PCNN ", In IEEE International Conference on Audio, Language and Image Processing (ICALIP) , pp. 735-739, 2012.
• Yingjie Zhang "A Novel Contrast Enhancement and Denoising Method for Borescope Images ", In IEEE fifth International Conference on Advanced Computational Intelligence(ICACI) pp. 570-573, October 2012.