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

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dc.contributor.authorChen S.en_US
dc.contributor.authorJanahiraman T.en_US
dc.contributor.authorSuliman A.en_US
dc.contributor.authorid7410253413en_US
dc.contributor.authorid35198314400en_US
dc.contributor.authorid25825739000en_US
dc.date.accessioned2023-05-29T07:30:10Z
dc.date.available2023-05-29T07:30:10Z
dc.date.issued2019
dc.description.abstractPrior to this work, Human Visual Perception (HVP)-based Image Quality Analyzer (IQA) has been proposed. The HVP-based IQA correlates with human judgment better than the existing IQAs which are commonly used for the assessment of contrast enhancement techniques. This paper highlights the shortcomings of the HVP-based IQA such as high computational complexity, excessive (six) threshold parameter tuning and high performance sensitivity to the change in the threshold parameters� value. In order to overcome the aforementioned problems, this paper proposes several enhancements such as replacement of local entropy with edge magnitude in sub-image texture analysis, down-sampling of image spatial resolution, removal of luminance masking and incorporation of famous Weber-Fechner Law on human perception. The enhanced HVP-based IQA requires far less computation (>189 times lesser) while still showing excellent correlation (Pearson Correlation Coefficient, PCC > 0.90, Root Mean Square Error, RMSE<0.3410) with human judgment. Besides, it requires fewer (two) threshold parameter tuning while maintaining consistent performance across wide range of threshold parameters� value, making it feasible for real-time video processing. � 2019, Zarka Private University. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage47
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85067830674
dc.identifier.spage41
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85067830674&partnerID=40&md5=52cfa84fb52f5bd18ce4c62c695bf7a1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25002
dc.identifier.volume16
dc.publisherZarka Private Universityen_US
dc.sourceScopus
dc.sourcetitleInternational Arab Journal of Information Technology
dc.titleEnhancement of human visual perception-based image quality analyzer for assessment of contrast enhancement methodsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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