Colour image enhancement with brightness preservation and edge sharpening using a heat conduction matrix

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dc.contributor.authorKatircioglu, Ferzan
dc.date.accessioned2021-12-01T18:47:27Z
dc.date.available2021-12-01T18:47:27Z
dc.date.issued2020
dc.departmentDÜ, Düzce Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümüen_US
dc.description.abstractIn this study, an enhancement process obtained by applying the heat conduction equation of solid and stagnant fluids on colour images is proposed. After the colour channel stretching, the RGB colour image was converted to the HSI model. The heat conduction equation was applied for each pixel on the I channel of the HSI colour model. The elements of the feature matrix called heat conduction matrix (HCM) can have negative, positive or zero values. A pixel with a small negative HCM value indicates that I needs level enhancement for a good image, whereas a small positive HCM value means that the I level value will be reduced and aligned with its neighbours. High positive or negative values are defined as the edges of the objects and the I level values of such pixels are not changed to protect the edges. In addition, whether HCM is negative or positive, the balanced increment and decrement path at a level I ensures that the mean brightness value performs natural protection. Finally, an enhanced image is obtained by transitioning from the HSI to the RGB colour model. Experimental results show that this method can enhance colour image details better than other methods.en_US
dc.identifier.doi10.1049/iet-ipr.2020.0393
dc.identifier.endpage3214en_US
dc.identifier.issn1751-9659
dc.identifier.issn1751-9667
dc.identifier.issue13en_US
dc.identifier.scopus2-s2.0-85097051748en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage3202en_US
dc.identifier.urihttps://doi.org/10.1049/iet-ipr.2020.0393
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10272
dc.identifier.volume14en_US
dc.identifier.wosWOS:000595800300028en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKatircioglu, Ferzan
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofIet Image Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectimage colour analysisen_US
dc.subjectimage enhancementen_US
dc.subjectheat conductionen_US
dc.subjectbrightnessen_US
dc.subjectimage resolutionen_US
dc.subjectmatrix algebraen_US
dc.subjectcolour image enhancementen_US
dc.subjectbrightness preservationen_US
dc.subjectedge sharpeningen_US
dc.subjectheat conduction matrixen_US
dc.subjectenhancement processen_US
dc.subjectheat conduction equationen_US
dc.subjectsolid fluidsen_US
dc.subjectstagnant fluidsen_US
dc.subjectcolour imagesen_US
dc.subjectcolour channelen_US
dc.subjectRGB colour imageen_US
dc.subjectHSI colour modelen_US
dc.subjectfeature matrixen_US
dc.subjectnegative valuesen_US
dc.subjectpositive valuesen_US
dc.subjectzero valuesen_US
dc.subjectnegative HCM valueen_US
dc.subjectlevel enhancementen_US
dc.subjectpositive HCM valueen_US
dc.subjectlevel valuesen_US
dc.subjectmean brightness valueen_US
dc.subjectRGB colour modelen_US
dc.subjectcolour image detailsen_US
dc.subjectAdaptive Gamma Correctionen_US
dc.subjectHistogram Equalizationen_US
dc.subjectQuality Assessmenten_US
dc.subjectContrasten_US
dc.titleColour image enhancement with brightness preservation and edge sharpening using a heat conduction matrixen_US
dc.typeArticleen_US

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