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
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/624187 |
| Date | 11 1900 |
| Creators | Guo, Jing-Ming, Syue, Jin-Yu, Radzicki, Vincent, Lee, Hua |
| Contributors | National Taiwan University of Science and Technology, Department of Electrical Engineering, University of California, Department of Electrical and Computer Engineering |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © held by the author; distribution rights International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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