Modern Methods for Image Quality Assessment

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but.event.date28.04.2016cs
but.event.titleStudent EEICT 2016cs
dc.contributor.authorNováček, Petr
dc.date.accessioned2018-07-10T12:48:18Z
dc.date.available2018-07-10T12:48:18Z
dc.date.issued2016cs
dc.description.abstractThis paper deals with the comparison of Image Quality Assessment (IQA) algorithms. The test gallery of colour calibre images were captured for comparison of IQA algorithms. Test gallery was captured by two cameras with a different type of sensors – CMOS with Bayer mask and a Foveon sensor.en
dc.formattextcs
dc.format.extent436-440cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 22nd Conference STUDENT EEICT 2016. s. 436-440. ISBN 978-80-214-5350-0cs
dc.identifier.isbn978-80-214-5350-0
dc.identifier.urihttp://hdl.handle.net/11012/83971
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 22nd Conference STUDENT EEICT 2016en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectImage Quality Assessmenten
dc.subjectMean Squared Erroren
dc.subjectPeak Signal to Noise Ratioen
dc.subjectUniversal Quality Indexen
dc.subjectStructural Similarity Indexen
dc.subjectEdge Strength Similarityen
dc.titleModern Methods for Image Quality Assessmenten
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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