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

Socpus ID

84945432852 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84945432852

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