Ramp Distribution-Based Image Enhancement Techniques for Infrared Images

Cited 11 time in webofscience Cited 0 time in scopus
  • Hit : 710
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorLee, Seung Younko
dc.contributor.authorKim, Dae Yeongko
dc.contributor.authorKim, Changickko
dc.date.accessioned2018-06-19T08:27:45Z-
dc.date.available2018-06-19T08:27:45Z-
dc.date.created2018-06-18-
dc.date.created2018-06-18-
dc.date.issued2018-07-
dc.identifier.citationIEEE SIGNAL PROCESSING LETTERS, v.25, no.7, pp.931 - 935-
dc.identifier.issn1070-9908-
dc.identifier.urihttp://hdl.handle.net/10203/242592-
dc.description.abstractA novel image enhancement method for infrared (IR) images is presented. The proposed method consists of two parts considering the characteristics of high-dynamic-range IR images. First, we attempt to enhance image contrast by introducing the ramp distribution that increases with a constant slope in an ordered histogram domain. The ramp-distributed histogram is incorporated into an optimization problem with a sorted histogram of the input image to calculate a modified histogram. Second, to deal with blurred effects on IR images, we propose a relative edge-strength index for high-boost filtering to effectively suppress noise in relatively uniform regions. Compared with various conventional and state-of-the-art algorithms, the proposed method shows highly competitive performance.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectCONTRAST ENHANCEMENT-
dc.subjectHISTOGRAM EQUALIZATION-
dc.subjectALGORITHM-
dc.subjectDISPLAY-
dc.titleRamp Distribution-Based Image Enhancement Techniques for Infrared Images-
dc.typeArticle-
dc.identifier.wosid000433370100005-
dc.identifier.scopusid2-s2.0-85046719595-
dc.type.rimsART-
dc.citation.volume25-
dc.citation.issue7-
dc.citation.beginningpage931-
dc.citation.endingpage935-
dc.citation.publicationnameIEEE SIGNAL PROCESSING LETTERS-
dc.identifier.doi10.1109/LSP.2018.2834429-
dc.contributor.localauthorKim, Changick-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorContrast enhancement-
dc.subject.keywordAuthorhigh-dynamic-range image-
dc.subject.keywordAuthorinfrared image-
dc.subject.keywordAuthorimage enhancement-
dc.subject.keywordAuthorimage sharpening-
dc.subject.keywordPlusCONTRAST ENHANCEMENT-
dc.subject.keywordPlusHISTOGRAM EQUALIZATION-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusDISPLAY-
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 11 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0