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Illumination based Sub Image Histogram Equalization: A Novel Method of Image Contrast Enhancement

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 119 - Number 20
Year of Publication: 2015
Authors:
Sangeeta Rani
Ashwini Kumar
Kuldeep Singh
10.5120/21183-4251

Sangeeta Rani, Ashwini Kumar and Kuldeep Singh. Article: Illumination based Sub Image Histogram Equalization: A Novel Method of Image Contrast Enhancement. International Journal of Computer Applications 119(20):14-19, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Sangeeta Rani and Ashwini Kumar and Kuldeep Singh},
	title = {Article: Illumination based Sub Image Histogram Equalization: A Novel Method of Image Contrast Enhancement},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {119},
	number = {20},
	pages = {14-19},
	month = {June},
	note = {Full text available}
}

Abstract

A novel Illumination based Sub-Image Histogram Equalization (ISIHE) method for contrast enhancement for low illumination gray scale images is presented in this paper. As the main crux of paper, illumination thresholds are computed and used to divide the original image into sub-images of different intensity levels. To control the enhancement rate, the histogram is clipped using a threshold value that represents the average number of grey level occurrences in the image. Each individual sub histogram is equalized independently and all sub images are integrated into one complete image for analysis as a final step. The experimental results are compared with other Histogram Equalization (HE) methods and ISIHE has shown promising results.

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