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Multiobjectives bihistogram equalization for image contrast enhancement

Hum, Yan Chai and Lai, Khin Wee and Mohamad Salim, Maheza Irna (2015) Multiobjectives bihistogram equalization for image contrast enhancement. Complexity, 20 (2). pp. 22-36. ISSN 1076-2787

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Official URL: http://dx.doi.org/10.1002/cplx.21499

Abstract

The global histogram equalization (HE) has been the most frequently adopted image contrast enhancement technique. A brightness and detail-preserving HE method with good contrast enhancement effect has been a goal of much recent research in HE. Nevertheless, producing a well-balanced HE is deemed to be a daunting task. In this article, we propose a novel framework of HE with the aim of taking three desirable properties into account: brightness preservation, detail preservation, and contrast enhancement. We termed the proposed method as multipurpose beta optimized bi-HE (MBOBHE). MBOBHE consists of performing the histogram optimization separately in both subhistograms after the segmentation of histogram using an optimized separating point based on the three performance criteria using a weighted-sum aggregated objective function (AOF). Both quantitative and qualitative results indicate that MBOBHE outperforms other existing bi-HE methods, in terms of comprehensive performance of HE that is capable of providing a holistic view.

Item Type:Article
Uncontrolled Keywords:brightness, equalization, image enhancement, optimization, partition
Subjects:A General Works
ID Code:58610
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:12 Apr 2017 12:02

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