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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6184/1/mahmood1.pdf |
| _version_ | 1796990058772824064 |
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| 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 |
| collection | UMP |
| 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 |
| first_indexed | 2024-03-06T11:46:03Z |
| format | Conference or Workshop Item |
| id | UMPir6184 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:46:03Z |
| publishDate | 2012 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir61842018-05-21T05:25:45Z 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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/6184/1/mahmood1.pdf |
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