Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter

dc.contributor.authorBartyzel, Krzysztof
dc.date.accessioned2021-07-15T09:39:14Z
dc.date.available2021-07-15T09:39:14Z
dc.date.issued2017
dc.description.abstractAdaprive Kuwahara filter produces very interesting results and significantly improves the efficiency and performance of the original algorithm in the context of noise reduction without blurring the edges. This document contains the experimental and theoretical comparison of the computational complexity of the modified algorithm and the consideration of optimization methods.en_EN
dc.identifier.citationBartyzel, K. (2017). Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter. Journal of Applied Computer Science, 25(1), 7-21. https://doi.org/10.34658/jack.2017.1.7-21
dc.identifier.doihttps://doi.org/10.34658/jack.2017.1.7-21
dc.identifier.doi10.34658/jack.2017.1.7-21
dc.identifier.issn1507-0360
dc.identifier.urihttp://hdl.handle.net/11652/3872
dc.identifier.urihttps://doi.org/10.34658/jack.2017.1.7-21
dc.language.isoenen_EN
dc.page.numbers. 7-21
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofJournal of Applied Computer Science, Vol. 25, No. 1, Wydawnictwo Politechniki Łódzkiej, Łódź 2017, ISSN 1507-0360.
dc.rightsFair use conditionen_EN
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rights.licenseLUT Licenseen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.subjectnoise reductionen_EN
dc.subjectimage processingen_EN
dc.subjectimage filteringen_EN
dc.subjectcomputational complexityen_EN
dc.subjectredukcja szumówpl_PL
dc.subjectprzetwarzanie obrazupl_PL
dc.subjectfiltrowanie obrazupl_PL
dc.subjectzłożoność obliczeniowapl_PL
dc.titleComputational Complexity and Numerical Optimization of Adaptive Kuwahara Filteren_EN
dc.typeArtykułpl_PL
dc.typeArticleen_EN

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