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dc.contributor.authorAmil, Feroz Mahmud
dc.contributor.authorRahman, Shanto
dc.contributor.authorRahman, Md Mostafijur
dc.contributor.authorDey, Emon Kumar
dc.description.abstractAs image enhancement is a well discussed issue, various methods have already been proposed till to date. Some of these methods perform well for specific applications but most of the techniques suffer from artifacts due to the over or under enhancement. To mitigate this problem a new technique namely Bilateral Histogram Equalization for contrast enhancement (BHE) which uses Harmonic mean of the image to divide the histogram is introduced. BHE is evaluated in both qualitative and quantitative manner and the results show that BHE creates less artifacts on several standard images than other existing state-of-the-art image enhancement techniques.en_US
dc.publisherIGI Globalen_US
dc.relation.ispartofjournalInternational Journal of Software Innovationen_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsComputer Science, Software Engineeringen_US
dc.subject.keywordsContrast Enhancementen_US
dc.titleBilateral Histogram Equalization for Contrast Enhancementen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationAmil, FM; Rahman, S; Rahman, MM; Dey, EK, Bilateral Histogram Equalization for Contrast Enhancement, International Journal of Software Innovation, 2016, 4 (4), pp. 15-34en_US
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the author[s] for more information.en_US
gro.hasfulltextNo Full Text
gro.griffith.authorDey, Emon Kumar

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