Spatial pooling strategies for image quality assessment

dc.contributor.advisorBovik, Alan C. (Alan Conrad), 1958-en
dc.contributor.committeeMemberVikalo, Harisen
dc.creatorMoorthy, Anush Krishnaen
dc.date.accessioned2009-09-03T21:00:57Zen
dc.date.available2009-09-03T21:00:57Zen
dc.date.issued2009-05en
dc.descriptiontexten
dc.description.abstractRecent image quality assessment (IQA) metrics achieve high correlation with human perception of image quality. Naturally, it is of interest to produce even better results. One promising method is to weight image quality measurements by visual importance. To this end, we describe three strategies - visual fixation-based weighting, quality-based weighting and weighting based on distribution of local quality scores about the mean. By contrast with some prior studies we find that these strategies can improve the correlations with subjective judgment significantly. We demonstrate improvements on the SSIM index in both its multi-scale and single-scale versions, using the LIVE database as a test-bed.en
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2009-05-90en
dc.language.isoengen
dc.subjectImage quality assessmenten
dc.subjectpooling strategiesen
dc.subjectstructural similarity indexen
dc.subjectLIVE image databaseen
dc.titleSpatial pooling strategies for image quality assessmenten
dc.type.genreThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen

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