Adaptive extended piecewise histogram equalisation for dark image enhancement. Issue 11 (1st November 2015)

• Record Type: Journal Article
• Authors: Ling, Zhigang; Liang, Yan; Wang, Yaonan; Shen, He; Lu, Xiao
• Is Part Of: IET image processing. Volume 9:Issue 11(2015)
• Page Start: 1012
• Page End: 1019
• Publication Date: 2015-11-01
• Subjects: image enhancement -- adaptive equalisers; multiple piecewise histograms -- equalisation strategy -- unnatural artefacts -- adaptive extended piecewise histogram equalisation algorithm -- AEPHE -- dark image enhancement -- extended piecewise histograms -- intensity preservation -- contrast boosting -- weighted fusion -- image over‐enhancement -- image under‐enhancement; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2014.0580
• Languages: English
• ISSNs: 1751-9659

Abstract

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, over‐enhancement 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.