FUSION-BASED AND FLICKER-FREE DEFOGGING
| dc.contributor.author | Guo, Jing-Ming | |
| dc.contributor.author | Syue, Jin-Yu | |
| dc.contributor.author | Radzicki, Vincent | |
| dc.contributor.author | Lee, Hua | |
| dc.date.accessioned | 2017-06-15T23:07:06Z | |
| dc.date.available | 2017-06-15T23:07:06Z | |
| dc.date.issued | 2016-11 | |
| dc.identifier.issn | 0884-5123 | |
| dc.identifier.issn | 0074-9079 | |
| dc.identifier.uri | http://hdl.handle.net/10150/624187 | |
| dc.description.abstract | Degradation 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.sponsorship | International Foundation for Telemetering | en |
| dc.language.iso | en_US | en |
| dc.publisher | International Foundation for Telemetering | en |
| dc.relation.url | http://www.telemetry.org/ | en |
| dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.subject | Image enhancement | en |
| dc.subject | Dark channel prior | en |
| dc.subject | Defogging | en |
| dc.subject | Dehaze | en |
| dc.title | FUSION-BASED AND FLICKER-FREE DEFOGGING | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | National Taiwan University of Science and Technology, Department of Electrical Engineering | en |
| dc.contributor.department | University of California, Department of Electrical and Computer Engineering | en |
| dc.identifier.journal | International Telemetering Conference Proceedings | en |
| dc.description.collectioninformation | Proceedings 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.dateFOA | 2018-06-26T01:26:07Z | |
| html.description.abstract | Degradation 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 |
