Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1632
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dc.contributor.authorOprea, Alina-
dc.contributor.authorVertan, Constantin-
dc.contributor.authorFlorea, Corneliu-
dc.contributor.authorFlorea, Laura-
dc.date.accessioned2020-04-16T06:16:10Z-
dc.date.accessioned2021-03-01T08:38:11Z-
dc.date.available2020-04-16T06:16:10Z-
dc.date.available2021-03-01T08:38:11Z-
dc.date.issued2008-
dc.identifier.citationOprea, Alina. A logarithmic-like image processing framework for biomedical image enhancement. Timişoara: Editura Politehnica, 2008en_US
dc.identifier.urihttp://primo.upt.ro:1701/primo-explore/search?query=any,contains,A%20logarithmic-like%20image%20processing%20framework%20for%20biomedical%20image%20enhancement&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo-
dc.description.abstractIt has been widely acknowledged that Logarithmic Image Processing (LIP) models offer a new approach for image enhancement. In this paper, we compare the existing LIP models to a new, logarithmiclike model, by means of a modified contrast stretching method. The proposed approach exhibits significant improvements regarding the overall contrast and details visibility over a large set of biomedical applications.en_US
dc.language.isoenen_US
dc.publisherTimişoara:Editura Politehnicaen_US
dc.relation.ispartofseriesSeria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008), p. 66-69-
dc.subjectLogarithmic image processing modelen_US
dc.subjectContrast enhancementen_US
dc.subjectBiomedical image processingen_US
dc.titleA logarithmic-like image processing framework for biomedical image enhancement [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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