The Community for Technology Leaders
2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) (2012)
Kuala Lumpur
Nov. 26, 2012 to Nov. 28, 2012
ISBN: 978-1-4673-5832-3
pp: 253-256
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.
INDEX TERMS
equalisers, image colour analysis, image enhancement, transforms
CITATION

M. M. Ahmed, J. M. Zain and M. M. Ahmed, "A Study on the Validation of Histogram Equalization as a Contrast Enhancement Technique," 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), Kuala Lumpur, 2013, pp. 253-256.
doi:10.1109/ACSAT.2012.82
96 ms
(Ver 3.3 (11022016))