A Histogram based Image Quality Index

dc.contributor.authorYalman, Yildiray
dc.date.accessioned2025-10-24T18:10:22Z
dc.date.available2025-10-24T18:10:22Z
dc.date.issued2012
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractImage quality evaluation plays a very important role in any image processing application. A number of efforts have been made in the last decade to develop generalized image quality metrics. However, a common and easily applicable image quality measure is yet to be developed. In this paper, a new Histogram-based Image Quality Index (HQI) is proposed for use in place of traditional error summation methods. It can be calculated easily and performs significantly better than the widely used image distortion quality metric Mean Squared Error (MSE). A software release of the proposed image quality measure HQI and examples of its usage on different test images have been made available online: http://www.turgutozal.edu.tr/yyalman/contents/yyalman/files/HQI.zip.
dc.identifier.endpage129
dc.identifier.issn0033-2097
dc.identifier.issn2449-9544
dc.identifier.issue7A
dc.identifier.startpage126
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4134
dc.identifier.volume88
dc.identifier.wosWOS:000306010100027
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherWydawnictwo Sigma-Not Sp Zoo
dc.relation.ispartofPrzeglad Elektrotechniczny
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectDigital Image; Histogram; Quality Measure
dc.titleA Histogram based Image Quality Index
dc.typeArticle

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