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Study on Various Techniques of Image Enhancement

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Sandeep Kaur, Parveen Kumar

Sandeep Kaur and Parveen Kumar. Study on Various Techniques of Image Enhancement. International Journal of Computer Applications 158(10):11-13, January 2017. BibTeX

	author = {Sandeep Kaur and Parveen Kumar},
	title = {Study on Various Techniques of Image Enhancement},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {158},
	number = {10},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {11-13},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2017912819},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This paper has discuss the various techniques for image enhancement i.e histogram equalization, Brightness preserving bi-histogram equalization(BBHE), Dualistic Sub-Image Histogram Equalization (DSIHE), Minimum Mean Brightness Error Bi-HE Method (MMBEBHE), Recursive Mean –Separate HE Method (RMSHE),Mean brightness preserving histogram equalization(MBPHE).As well as it represents the comparison between the various techniques that shows the image enhances the overall contrast and visibility of local details. The review has shown that contrast enhancement approach based on dominant brightness level analysis and adaptive intensity transformation for remote sensing images.


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Image enhancement, different techniques of image enhancement HE, BBHE, DSIHE, MMBEBHE, RMSHE, MBPHE and Comparison table