Adaptive Extended Piecewise Histogram Equalisation For Dark Image Enhancement
Abstract
Histogram equalisation has been widely used for image enhancement because of its simple implementation and satisfactory performance. However, traditional histogram equalisation uniformly redistributes an entire histogram or multiple piecewise histograms with the same equalisation strategy, which may produce unnatural artefacts, overenhancement or under-enhancement in wide dynamic range dark image enhancement. This study proposes an adaptive extended piecewise histogram equalisation algorithm (AEPHE) for dark image enhancement. First, an original histogram is divided into a group of extended piecewise histograms. Then, an adaptive histogram equalisation, which balances intensity preservation and contrast boosting, is further developed and respectively applied to these extended piecewise histograms. The final histogram for image enhancement is produced by a weighted fusion of these equalised histograms. The experimental results indicate that AEPHE is superior to multiple state-of-the-art algorithms.
Publication Date
11-1-2015
Publication Title
IET Image Processing
Volume
9
Issue
11
Number of Pages
1012-1019
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1049/iet-ipr.2014.0580
Copyright Status
Unknown
Socpus ID
84945432852 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84945432852
STARS Citation
Ling, Zhigang; Liang, Yan; Wang, Yaonan; Shen, He; and Lu, Xiao, "Adaptive Extended Piecewise Histogram Equalisation For Dark Image Enhancement" (2015). Scopus Export 2015-2019. 188.
https://stars.library.ucf.edu/scopus2015/188