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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Barai, Sudhir Kumar | - |
dc.date.accessioned | 2021-11-14T07:48:28Z | - |
dc.date.available | 2021-11-14T07:48:28Z | - |
dc.date.issued | 2009-08 | - |
dc.identifier.issn | https://ieeexplore.ieee.org/abstract/document/5298801 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3625 | - |
dc.description.abstract | Poor visibility in foggy weather stems from the fact that particles in atmosphere scatter and absorb light from the environment and light reflected from the objects. Mathematically, de-weathering a fog degraded image is an ill posed problem and existing approaches are of high complexity and low versatility. In this paper, a novel fuzzy logic based algorithm, to de-weather fog-degraded images, is proposed. Specifically, air-light estimation is carried out using fuzzy logic followed by color correction for enhanced visibility. Experimental results show that the algorithm works effectively for images with a sky region. Due to its low complexity compared to conventional physics based solutions, the algorithm makes real-time implementation possible on a mobile platform which is crucial from a road safety viewpoint. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Civil Engineering | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Image enhancement | en_US |
dc.subject | Road safety | en_US |
dc.title | A Fuzzy Logic Based Approach to De-Weather Fog-Degraded Images | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Civil Engineering |
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