A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique

Our study uncovers that histogram equalization (HE)-in a striking contrast to it's claim-is not related to enhancement of contrast. To understand this view, we start with real world images which have varying degree of image quality that almost invariably require processing to improve image cont...

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Main Authors:	Jasni, Mohamad Zain, Ahmed, M. Mahmood, Ahmed, M. Masroor
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/6184/ http://umpir.ump.edu.my/id/eprint/6184/ http://umpir.ump.edu.my/id/eprint/6184/ http://umpir.ump.edu.my/id/eprint/6184/1/mahmood1.pdf

id	ump-6184
recordtype	eprints
spelling	ump-61842018-05-21T05:25:45Z http://umpir.ump.edu.my/id/eprint/6184/ A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique Jasni, Mohamad Zain Ahmed, M. Mahmood Ahmed, M. Masroor QA75 Electronic computers. Computer science Our study uncovers that histogram equalization (HE)-in a striking contrast to it's claim-is not related to enhancement of contrast. To understand this view, we start with real world images which have varying degree of image quality that almost invariably require processing to improve image contrast. For this purpose, histogram equalization including its variants is a frequently relied upon technique. HE processes image by calculating pixel density of its constituent gray levels. This mathematical model, described by HE, is neither linked to contrast nor is contrast directly included in HE equations. Therefore, the study aims to find out the factual nature of transformation functions used by HE. To understand these mathematical calculations thoroughly, the paper dismantles HE into it's building blocks. These blocks are, then, critically analyzed to understand the true relationship between HE fundamentals and contrast. This analysis' determines that HE manipulates density-not contrast-which, in turn, achieves density changes but no contrast enhancement. Hence the study concludes that HE is not a valid contrast enhancement technique IEEE 2012 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6184/1/mahmood1.pdf Jasni, Mohamad Zain and Ahmed, M. Mahmood and Ahmed, M. Masroor (2012) A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique. In: Proceedings of International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2012), 26-28 November 2012 , Kuala Lumpur. pp. 253-256.. ISBN 978-1-4673-5832-3 http://dx.doi.org/10.1109/ACSAT.2012.82 doi:10.1109/ACSAT.2012.82
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Jasni, Mohamad Zain Ahmed, M. Mahmood Ahmed, M. Masroor A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique
description	Our study uncovers that histogram equalization (HE)-in a striking contrast to it's claim-is not related to enhancement of contrast. To understand this view, we start with real world images which have varying degree of image quality that almost invariably require processing to improve image contrast. For this purpose, histogram equalization including its variants is a frequently relied upon technique. HE processes image by calculating pixel density of its constituent gray levels. This mathematical model, described by HE, is neither linked to contrast nor is contrast directly included in HE equations. Therefore, the study aims to find out the factual nature of transformation functions used by HE. To understand these mathematical calculations thoroughly, the paper dismantles HE into it's building blocks. These blocks are, then, critically analyzed to understand the true relationship between HE fundamentals and contrast. This analysis' determines that HE manipulates density-not contrast-which, in turn, achieves density changes but no contrast enhancement. Hence the study concludes that HE is not a valid contrast enhancement technique
format	Conference or Workshop Item
author	Jasni, Mohamad Zain Ahmed, M. Mahmood Ahmed, M. Masroor
author_facet	Jasni, Mohamad Zain Ahmed, M. Mahmood Ahmed, M. Masroor
author_sort	Jasni, Mohamad Zain
title	A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique
title_short	A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique
title_full	A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique
title_fullStr	A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique
title_full_unstemmed	A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique
title_sort	study on the validation of histogram equalization as a contrast enhancement technique
publisher	IEEE
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/6184/ http://umpir.ump.edu.my/id/eprint/6184/ http://umpir.ump.edu.my/id/eprint/6184/ http://umpir.ump.edu.my/id/eprint/6184/1/mahmood1.pdf
first_indexed	2023-09-18T22:01:45Z
last_indexed	2023-09-18T22:01:45Z
_version_	1777414444436946944

A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique

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