A Quantitative Study on Optimum Parameters Selection in Adaptive Unsharp Masking Technique for Infrared Images

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dc.contributor.authorJane, Onur
dc.contributor.authorIlk, H. Goekhan
dc.coverage.issue4cs
dc.coverage.volume18cs
dc.date.accessioned2016-03-18T08:55:53Z
dc.date.available2016-03-18T08:55:53Z
dc.date.issued2009-12cs
dc.description.abstractInfrared image processing has been the focal point of considerable research activity in the last decade mainly because of its wide application areas in security and defense. With the aid of an existing image enhancement technique, we propose an optimum parameters selection procedure which delivers better performance in sharpness and contrast adjustment for the detection of targets in interest in objective quality metrics. Hence, proposed method ensures that the edges of the targets in infrared images are sharper and that the quality of contrast adjustment has its optimum level with minimum error.en
dc.formattextcs
dc.format.extent611-617cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2009, vol. 18, č. 4, s. 611-617. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/57158
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2009/09_04_611_617.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectAdaptive filteringen
dc.subjectsurveillance applicationsen
dc.subjectimage enhancementen
dc.subjectGauss-Newton algorithmen
dc.subjectminimum mean square erroren
dc.titleA Quantitative Study on Optimum Parameters Selection in Adaptive Unsharp Masking Technique for Infrared Imagesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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