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A Study of Contrast Enhancement by Image Fusion using Edge Detection Techniques

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 13
Year of Publication: 2015
Pallabi Ghosh
Debanjana Dasgupta
Debalina Ghosh

Pallabi Ghosh, Debanjana Dasgupta and Debalina Ghosh. Article: A Study of Contrast Enhancement by Image Fusion using Edge Detection Techniques. International Journal of Computer Applications 122(13):27-31, July 2015. Full text available. BibTeX

	author = {Pallabi Ghosh and Debanjana Dasgupta and Debalina Ghosh},
	title = {Article: A Study of Contrast Enhancement by Image Fusion using Edge Detection Techniques},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {13},
	pages = {27-31},
	month = {July},
	note = {Full text available}


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.


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