The week's pick
Random Articles
Reseach Article
Histogram Equalization Techniques for Contrast Enhancement: A Review
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 114 - Number 10 |
| Year of Publication: 2015 |
| Authors: Sourav Das, Tarun Gulati, Vikas Mittal |
10.5120/20017-2027
|
Sourav Das, Tarun Gulati, Vikas Mittal . Histogram Equalization Techniques for Contrast Enhancement: A Review. International Journal of Computer Applications. 114, 10 ( March 2015), 32-36. DOI=10.5120/20017-2027
Abstract
Contrast enhancement is one of the widely used techniques for image enhancement. In this technique, contrast of an image becomes better to make the image more acceptable for well human vision. There are several techniques that can be process for contrast enhancement but the most common one is the histogram equalization (HE) for its simplicity. The HE technique remaps gray levels of image according to probability distribution function (PDF). HE spreads the histogram and extends dynamic range of gray levels to accomplish overall contrast enhancement but the drawbacks are excessive change in brightness, excessive contrast enhancement, washed out appearance, loss of naturalness of an image, loss of image details, not displaying the actual appearance of the image so it is not suitable for consumer electronic applications. This paper shows the study of various histogram modifying techniques to overcome these drawbacks in a greater extend.
References
- R. C. Gonzalez and R. E. Woods, "Digital image processing," 3rd Edition, Prentice Hall, 2007.
- S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. H. Romeny, J. B. Zimmerman and K. Zuiderveld, "Adaptive histogram equalization and its variations", Computer Vision, Graphics and Image Processing, Vol. 39, pp. 355–368, 1987.
- S. M. Pizer, R. E. Johnston, J. P. Ericksen, B. C. Yankaskas and K. E. Muller, "Contrast limited adaptive histogram equalization: speed and effectiveness", IEEE Conference on Visualization in Biomedical Computing (VBC '90), pp. 337–345, 1990.
- Y. T. Kim, "Contrast enhancement using brightness preserving bi-histogram equalization", IEEE Transactions on Consumer Electronics, Vol. 43, pp. 1-8, 1997.
- Y. Wang, Q. Chen and B. Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method", IEEE Transactions on Consumer Electronics, Vol. 45, pp. 68-75, 1999.
- S. D. Chen and A. Ramli, "Contrast enhancement using recursive mean separate histogram equalization for scalable brightness preservation," IEEE Transactions on Consumer Electronics, Vol. 49, pp. 1301-1309, 2003.
- S. D. Chen and A. Ramli, "Minimum mean brightness error bi-histogram equalization in contrast enhancement", IEEE Transactions on Consumer Electronics, Vol. 49, pp. 1310-1319, 2003.
- C. Wang and Z. Ye, "Brightness preserving histogram equalization with maximum entropy: a variational perspective", IEEE Transactions on Consumer Electronics, Vol. 51, pp. 1326-1334, 2005.
- M. A. Wadud, H. Kabir, M. A. Dewan and O. Chae, "A dynamic histogram equalization for image contrast enhancement", IEEE Transactions on Consumer Electronics, Vol. 53, pp. 593-599, 2007.
- Q. Wang and R. K. Ward, "Fast image/video contrast enhancement based on weighted threshold histogram equalization", IEEE Transactions on Consumer Electronics, Vol. 53, pp. 757-764, 2007.
- K. Sim, C. Tso and Y. Tan, "Recursive sub-image histogram equalization applied to gray scale images", Pattern Recognition Letters, Vol. 28, pp. 1209-1221, 2007.
- H. Ibrahim and N. S. Kong, "Brightness preserving dynamic histogram equalization for image contrast enhancement", IEEE Transactions on Consumer Electronics, Vol. 53, pp. 1752-1758, 2007.
- N. Sengee and H. K. Choi, "Brightness preserving weight clustering histogram equalization", IEEE Transactions on Consumer Electronics, Vol. 54, pp. 1329-1337, 2008.
- M. Kim and M. G. Chung, "Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement", IEEE Transactions on Consumer Electronics, Vol. 54, pp. 1389-1497, 2008.
- G. H. Park, H. H. Cho and M. R. Choi, "A contrast enhancement method using dynamic range separate histogram equalization", IEEE Transactions on Consumer Electronics, Vol. 54, pp. 1981-1987, 2008.
- C. H. Lu, H. Y. Hsu and L. Wang, "A new contrast enhancement technique by adaptively increasing the value of histogram", IEEE International Workshop on Imaging Systems and Techniques, pp. 407-411, 2009.
- T. Arici, S. Dikbas and Y. Altunbasak, "A histogram modification framework and its application for image contrast enhancement", IEEE Transactions on image processing, Vol. 18, pp. 1921-1935, 2009.
- P. Rajavel, "Image dependent brightness preserving histogram equalization", IEEE Transactions on Consumer Electronics, Vol. 56, pp. 756-763, 2010.
- C. H. Ooi and N. A. Isa, "Quadrants dynamic histogram equalization for contrast enhancement", IEEE Transactions on Consumer Electronics, Vol. 56, pp. 2552-2559, 2010.
- M. Kaur, J. Kaur and J. Kaur, "Survey of contrast enhancement techniques based on histogram equalization", International Journal of Advanced Computer Science and Applications, Vol. 2, 2011.
- T. Huynh and T. Tien, "Brightness preserving weighted dynamic range histogram equalization for image contrast enhancement", IEEE International Conference on Advanced Technologies for Communications, pp. 386-391, 2013.
Index Terms
Keywords