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dc.date.accessioned 2016-04-11T13:49:59Z
dc.date.available 2016-04-11T13:49:59Z
dc.date.issued 2015
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/52165
dc.description.abstract A real-time approach for removing sunlight flickers from subaquatic scenarios captured in videos is presented. For this end, a de-flickering filter is designed. The start point is a moving landscape scene. Essentially, the filtering approach is based on morphological characteristics of the caustic waves. It constructs an a-priori de-flickered image which is afterwards enhanced. The algorithm employs feedback of optical flow fields and brightness in order to predict a one-step-ahead value of the brightness. en
dc.format.extent 240-247 es
dc.language en es
dc.subject underwater images en
dc.subject Filtering es
dc.subject image filter en
dc.title Employing Feedback to Filter Caustic Waves in Underwater Scenes in Motion en
dc.type Objeto de conferencia es
sedici.identifier.uri http://44jaiio.sadio.org.ar/sites/default/files/asai240-247.pdf es
sedici.identifier.issn 2451-7585 es
sedici.creator.person Trabes, Emanuel es
sedici.creator.person Jordán, Mario A. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa (SADIO) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/3.0/
sedici.date.exposure 2015
sedici.relation.event Argentine Symposium on Artificial Intelligence (ASAI 2015) - JAIIO 44 (Rosario, 2015) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)