The week's pick
Random Articles
Reseach Article
A Study of Contrast Enhancement by Image Fusion using Edge Detection Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 122 - Number 13 |
| Year of Publication: 2015 |
| Authors: Pallabi Ghosh, Debanjana Dasgupta, Debalina Ghosh |
10.5120/21762-5009
|
Pallabi Ghosh, Debanjana Dasgupta, Debalina Ghosh . A Study of Contrast Enhancement by Image Fusion using Edge Detection Techniques. International Journal of Computer Applications. 122, 13 ( July 2015), 27-31. DOI=10.5120/21762-5009
Abstract
There are various methods available in the literature for improving the visual quality of an image. Contrast enhancement of an image by histogram equalization is one such technique. But histogram equalization alone results in data loss and also the mean brightness of the resultant output image approaches to the middle gray level. In this paper, the edge strengths of the original and the equalized images have been found by four edge detection algorithms, Robert, Sobel, Prewitt and Canny separately and then depending on their edge strengths and following a simple equation, fusion of the two images are done. These resulting fused images contain all the useful data of the original image as well as their contrasts are enhanced. The Standard Deviation and Gradient of the respective fused images are then compared and it is found that for almost all images image fusion using Canny edge detector as a filter yields best result.
References
- R. Gonzalez and R. Woods, Digital Image Processing, 2nd ed. , Prentice Hall, Jan. 2002).
- Xiaoying Fang, Jingao Liu, Wenquan Gu, Yiwen Tang, "A Method to Improve the Image Enhancement Result based on Image Fusion", International Conference on Multimedia Technology, 2011, pp. 55-58
- S. -D. Chen, A. Ramli, "Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation," IEEE Trans. On Consumer Electronics, vol. 49, no. 4, pp. 1301-1309, Nov. 2003.
- Cheng-Hsiung Hsieh, Bo-Chang Chen, Chih-Ming Lin, Qiangfu Zhao, "Detail Aware Contrast Enhancement with Linear Image Fusion", International Symposium on Aware Computing, 2010,pp. 1-5
- Y. -T. Kim, "Contrast enhancement using brightness preserving bi - histogram equalization", IEEE Trans. On Consumer electronics, vol. 43, no. 1, pp. 1-8, Feb. 1997.
- Raman Maini,Dr. Himanshu Aggarwal, "Study and Comparison of Various Image Edge Detection Techniques", International Journal of Image Processing (IJIP), Volume (3) : Issue (1)
- Seif, A. ,et. al. ;"A hardware architecture of Prewitt edge detection", Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2010 IEEE Conference, Malaysia, pp. 99 – 101, 20-21 Nov. 2010.
- http://homepages. inf. ed. ac. uk/rbf/HIPR2/roberts. htm
- Y. Ramadevi, T. Sridevi, B. Poornima, B. Kalyani, "SEGMENTATION AND OBJECT RECOGNITION USING EDGE DETECTION TECHNIQUES", International Journal of Computer Science & Information Technology, Vol. 2, No 6, December 2010.
- Bhavya R, Vijay V, "Edge Detection and Object Extraction Using Unbalanced Weights for Foreground and Background", International Journal of Scientific and Research Publications, Volume 2, Issue 12, December 2012.
- www. robotics. technion. ac. il/courses/advanced. . . /arl_7
- J. Matthews. "An introduction to edge detection: The sobel edge detector," Available at http://www. generation5. org/content/2002/im01. asp, 2002.
- http://homepages. inf. ed. ac. uk/rbf/HIPR2/sobel. htm
- http://homepages. inf. ed. ac. uk/rbf/HIPR2/canny. htm
- http://homepages. inf. ed. ac. uk/rbf/HIPR2/prewitt. htm
- V. Saini, T. Gulati, "A Comparative Study on Image Enhancement Using Image Fusion", IJARCSSE, Vol. 2,No. 10,October2012
Index Terms
Keywords