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A new image quality measure for assessment of histogram equalization-based contrast enhancement techniques

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dc.citedby76
dc.contributor.authorChen S.-D.en_US
dc.contributor.authorid7410253413en_US
dc.date.accessioned2023-12-29T07:47:05Z
dc.date.available2023-12-29T07:47:05Z
dc.date.issued2012
dc.description.abstractAbsolute Mean Brightness Error (AMBE) and Entropy are among the two most popular IQMs used to assess Histogram Equalization (HE) based techniques. To the best of author's knowledge, there is no evaluation report on how well the two IQMs correlate to human opinion. This paper reviews and discusses the potential flaws in using AMBE and Entropy to assess HE-based techniques. This paper presents results of a subjective quality assessment in which image quality data obtained from 1935 human observer opinion scores were used to evaluate the IQMs. The statistical evaluation results show that the two IQMs have poor correlation with human mean opinion score (MOS); Pearson Correlation Coefficient (PCC)<0.4, Root Mean Square Error (RMSE)>0.75, Outlier Ratio (OR)>20%. A new IQM which takes into account important properties of human visual perception (HVP) is proposed. It is tested and found to have significantly better correlation (PCC>0.86, RMSE<0.39 and OR=0%). The proposed IQM also outperforms Multi-Scale Structural Similarity (MSSIM) and Information Fidelity Criterion-based (IFC) measure, which are two prominent fidelity-based IQMs. � 2012 Elsevier Inc. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.dsp.2012.04.002
dc.identifier.epage647
dc.identifier.issue4
dc.identifier.scopus2-s2.0-84860669159
dc.identifier.spage640
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84860669159&doi=10.1016%2fj.dsp.2012.04.002&partnerID=40&md5=9e31b80877be3f5f6f83bf661b961bb7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30365
dc.identifier.volume22
dc.pagecount7
dc.publisherElsevier Inc.en_US
dc.sourceScopus
dc.sourcetitleDigital Signal Processing: A Review Journal
dc.subjectContrast enhancement
dc.subjectDistortions
dc.subjectHistogram equalization
dc.subjectQuality measures
dc.subjectVisual perception
dc.subjectCorrelation methods
dc.subjectDistortion (waves)
dc.subjectEntropy
dc.subjectEqualizers
dc.subjectGraphic methods
dc.subjectImage enhancement
dc.subjectMean square error
dc.subjectQuality control
dc.subjectVision
dc.subjectContrast Enhancement
dc.subjectHistogram equalizations
dc.subjectInformation fidelity criterion
dc.subjectPearson correlation coefficients
dc.subjectQuality measures
dc.subjectRoot mean square errors
dc.subjectSubjective quality assessments
dc.subjectVisual perception
dc.subjectImage quality
dc.titleA new image quality measure for assessment of histogram equalization-based contrast enhancement techniquesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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