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Human visual perception-based image quality analyzer for assessment of contrast enhancement methods

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dc.citedby2
dc.contributor.authorChen S.-D.en_US
dc.contributor.authorid7410253413en_US
dc.date.accessioned2023-05-29T06:13:49Z
dc.date.available2023-05-29T06:13:49Z
dc.date.issued2016
dc.description.abstractAbsolute Mean Brightness Error (AMBE) and entropy are two popular Image Quality Analyzer (IQA) metrics used for assessment of Histogram Equalization (HE)-based contrast enhancement methods. However, recent study shows that they have poor correlation with Human Visual Perception (HVP); Pearson Correlation Coefficient (PCC)<0.4. This paper, proposed a new IQA which takes into account important properties of HVP with respect to luminance, texture and scale. evaluation results show that the proposed IQA has significantly improved performance (PCC>0.9). It outperforms all IQAs in study, including two prominent IQAs designed for assessment of image fidelity in image coding-Multi-Scale Structural Similarity (MSSIM) and information fidelity criterion. � 2016, Zarka Private Univ. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage245
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84962555473
dc.identifier.spage238
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84962555473&partnerID=40&md5=3e292b3c2c1827a300e02f5cfb54b2b6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22972
dc.identifier.volume13
dc.publisherZarka Private Univen_US
dc.sourceScopus
dc.sourcetitleInternational Arab Journal of Information Technology
dc.titleHuman visual perception-based image quality analyzer for assessment of contrast enhancement methodsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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