A new color image quality measure based on YUV transformation and PSNR for human vision system

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dc.contributor.authorYalman, Yildiray
dc.contributor.authorErturk, Ismail
dc.date.accessioned2025-10-24T18:09:48Z
dc.date.available2025-10-24T18:09:48Z
dc.date.issued2013
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractVarious methods for measuring perceptual image quality attempt to quantify the visibility of differences between an original digital image and its distorted version using a variety of known properties of the human vision system (HVS). In this paper, we propose a simple and effective full-reference color image quality measure (CQM) based on reversible luminance and chrominance (YUV) color transformation and peak signal-to-noise ratio (PSNR) measure. The main motivation of this new measure relies on a unique feature of the human eye response to the luminance and color. Experimental studies about the applicability of the CQM on a well-known test image under 6 different distortions, both perceivable by the human vision system and with the same PSNR value (i.e. 27.67), are presented. The CQM results are obtained as 39.56, 38.93, 38.08, 37.43, 37.10, and 36.79 dB for each distorted image, showing that image quality of the first image is noticeably higher than the others with respect to the same PSNR value. This conclusion attests that using the CQM together with the traditional PSNR approach provides distinguished results.
dc.identifier.doi10.3906/elk-1111-11
dc.identifier.endpage612
dc.identifier.issn1300-0632
dc.identifier.issn1303-6203
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84876256582
dc.identifier.scopusqualityQ2
dc.identifier.startpage603
dc.identifier.trdizinid141912
dc.identifier.urihttps://doi.org/10.3906/elk-1111-11
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/141912
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3841
dc.identifier.volume21
dc.identifier.wosWOS:000322743700020
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR
dc.language.isoen
dc.publisherTubitak Scientific & Technological Research Council Turkey
dc.relation.ispartofTurkish Journal Of Electrical Engineering And Computer Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20251023
dc.subjectImage quality measure; human vision system; color transformation; PSNR; YUV
dc.titleA new color image quality measure based on YUV transformation and PSNR for human vision system
dc.typeArticle

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