Publication:
Preserving brightness in histogram equalization based contrast enhancement techniques

Simple item page
dc.citedby119
dc.contributor.authorChen S.-D.en_US
dc.contributor.authorRamli A.R.en_US
dc.contributor.authorid7410253413en_US
dc.contributor.authorid26428905000en_US
dc.date.accessioned2023-12-28T08:58:01Z
dc.date.available2023-12-28T08:58:01Z
dc.date.issued2004
dc.description.abstractHistogram equalization (HE) has been a simple yet effective image enhancement technique. However, it tends to change the brightness of an image significantly, causing annoying artifacts and unnatural contrast enhancement. Brightness preserving bi-histogram equalization (BBHE) and dualistic sub-image histogram equalization (DSIHE) have been proposed to overcome these problems but they may still fail under certain conditions. This paper proposes a novel extension of BBHE referred to as minimum mean brightness error bi-histogram equalization (MMBEBHE). MMBEBHE has the feature of minimizing the difference between input and output image's mean. Simulation results showed that MMBEBHE can preserve brightness better than BBHE and DSIHE. Furthermore, this paper also formulated an efficient, integer-based implementation of MMBEBHE. Nevertheless, MMBEBHE also has its limitation. Hence, this paper further proposes a generalization of BBHE referred to as recursive mean-separate histogram equalization (RMSHE). RMSHE is featured with scalable brightness preservation. Simulation results showed that RMSHE is the best compared to HE, BBHE, DSIHE, and MMBEBHE. � 2004 Elsevier Inc. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.dsp.2004.04.001
dc.identifier.epage428
dc.identifier.issue5
dc.identifier.scopus2-s2.0-4544281066
dc.identifier.spage413
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-4544281066&doi=10.1016%2fj.dsp.2004.04.001&partnerID=40&md5=03b3dd716b6c87cb1a5de873fe3fa8b1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29874
dc.identifier.volume14
dc.pagecount15
dc.publisherElsevier Inc.en_US
dc.relation.ispartofAll Open Access; Green Open Access
dc.sourceScopus
dc.sourcetitleDigital Signal Processing: A Review Journal
dc.subjectBi-histogram equalization
dc.subjectDualistic sub-image
dc.subjectHistogram equalization
dc.subjectMean separate
dc.subjectMinimum mean brightness error
dc.subjectRecursive
dc.subjectAlgorithms
dc.subjectComputer simulation
dc.subjectEntropy
dc.subjectImage analysis
dc.subjectProbability
dc.subjectStatistical methods
dc.subjectVirtual reality
dc.subjectBi-histogram equalization
dc.subjectDualistic sub-image
dc.subjectHistogram equalization
dc.subjectMean separate
dc.subjectMinimum mean brightness error
dc.subjectRecursive
dc.subjectDigital signal processing
dc.titlePreserving brightness in histogram equalization based contrast enhancement techniquesen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS