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dc.contributor.authorGuo, Jing-Ming
dc.contributor.authorSyue, Jin-Yu
dc.contributor.authorRadzicki, Vincent
dc.contributor.authorLee, Hua
dc.date.accessioned2017-06-15T23:07:06Z
dc.date.available2017-06-15T23:07:06Z
dc.date.issued2016-11
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/624187
dc.description.abstractDegradation in visibility is often introduced to images captured in poor weather conditions, such as fog or haze. In this paper, a fusion-based transmission estimation method is introduced to adaptively combine two different transmission models. Specifically, the new fusion weighting scheme and the atmospheric light computed from the Gaussian-based dark channel method improves the estimation of the locations of the light sources. To reduce the flickering effect introduced during the process of frame-based dehazing, a flicker-free module is formulated to alleviate the impacts. The system assessments show this approach is capable of superior defogging and dehazing performance, compared to the state-of-the-art methods, both quantitatively and qualitatively
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen
dc.subjectImage enhancementen
dc.subjectDark channel prioren
dc.subjectDefoggingen
dc.subjectDehazeen
dc.titleFUSION-BASED AND FLICKER-FREE DEFOGGINGen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentNational Taiwan University of Science and Technology, Department of Electrical Engineeringen
dc.contributor.departmentUniversity of California, Department of Electrical and Computer Engineeringen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-06-26T01:26:07Z
html.description.abstractDegradation in visibility is often introduced to images captured in poor weather conditions, such as fog or haze. In this paper, a fusion-based transmission estimation method is introduced to adaptively combine two different transmission models. Specifically, the new fusion weighting scheme and the atmospheric light computed from the Gaussian-based dark channel method improves the estimation of the locations of the light sources. To reduce the flickering effect introduced during the process of frame-based dehazing, a flicker-free module is formulated to alleviate the impacts. The system assessments show this approach is capable of superior defogging and dehazing performance, compared to the state-of-the-art methods, both quantitatively and qualitatively


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