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

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

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Abstract

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

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Users 134 not found.
Date Deposited: 04 Aug 2014 06:04
Last Modified: 21 May 2018 05:25
URI: http://umpir.ump.edu.my/id/eprint/6184
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