Onoyama, T. and Lu, H. and Soomro, A.A. and Mokhtar, A.A. and Kamiya, T. and Serikawa, S. (2021) Image quality improvement using local adaptive neighborhood-based dark channel prior. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In-vehicle cameras and surveillance cameras are used in many situations in our daily lives. Visibility degradation in foggy environments is caused by the scattering of reflected light from real objects by minute water droplets or fog in the medium through which light passes. The degree of degradation depends on the density of suspended microparticles existing between the observed object and the observation point in the medium. In general, the farther the object is from the camera, the more it is affected by the fog. The purpose of image de-fogging is to improve the clarity of an object by removing the effects of fog in the image. © 2021 SPIE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Impact Factor: | cited By 0 |
Uncontrolled Keywords: | Cameras; Fog; Image enhancement; Security systems, Adaptive neighborhood; Daily lives; Dark channel priors; Dehazing; Image quality improvements; Local adaptive neighborhood; Local-adaptive; Reflected light; Surveillance cameras; Visibility degradation, Demulsification |
Depositing User: | Ms Sharifah Fahimah Saiyed Yeop |
Date Deposited: | 25 Mar 2022 01:34 |
Last Modified: | 25 Mar 2022 01:34 |
URI: | http://scholars.utp.edu.my/id/eprint/29364 |