Show simple item record

hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorTian, Qi-Chong*
hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
*
dc.date.accessioned2020-06-10T12:30:41Z
dc.date.available2020-06-10T12:30:41Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20869
dc.language.isoenen
dc.subjectHistogramsen
dc.subjectColor: Image color analysisen
dc.subjectLightingen
dc.subjectDistortionen
dc.subjectAdaptive equalizersen
dc.subjectBrightnessen
dc.subject.ddc621.3en
dc.titleGlobal and Local Contrast Adaptive Enhancement for Non-Uniform Illumination Color Imagesen
dc.typeCommunication / Conférence
dc.description.abstractenColor images captured by digital devices may contain some non-uniform illuminations. Many enhancement methods produce undesirable results in the aspect of contrast improvement or naturalness preservation. A global and local contrast enhancement method is proposed for adaptively enhancing the non-uniform illumination images. Firstly, a novel global contrast adaptive enhancement algorithm obtains the global enhancement image. Secondly, a huepreserving local contrast adaptive enhancement algorithm produces the local enhancement image. Finally, a contrast-brightness-based fusion algorithm obtains the final result, which represents a trade-off between global contrast and local contrast. This method improves the visual quality and preserves the image naturalness. Experiments are conducted on a dataset including different kinds of non-uniform illumination images. Results demonstrate the proposed method outperforms the compared enhancement algorithms both qualitatively and quantitatively.en
dc.identifier.citationpages8en
dc.relation.ispartoftitleProceedings of the IEEE International Conference on Computer Vision Workshopsen
dc.relation.ispartofpublnameInstitute of Electrical and Electronics Engineersen
dc.subject.ddclabelTraitement du signalen
dc.relation.conftitle2017 IEEE International Conference on Computer Vision Workshops (ICCVW)en
dc.relation.confdate2017-10
dc.relation.confcityVeniseen
dc.relation.confcountryItalyen
dc.relation.forthcomingnonen
dc.identifier.doi10.1109/ICCVW.2017.357en
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2020-06-10T12:26:46Z
hal.author.functionaut
hal.author.functionaut


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record