@inproceedings{scholars15621,
             doi = {10.1117/12.2603771},
       publisher = {SPIE},
            note = {cited By 0; Conference of International Symposium on Artificial Intelligence and Robotics 2021 ; Conference Date: 21 August 2021 Through 27 August 2021; Conference Code:174443},
            year = {2021},
           title = {Image quality improvement using local adaptive neighborhood-based dark channel prior},
          volume = {11884},
         journal = {Proceedings of SPIE - The International Society for Optical Engineering},
        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. {\^A}{\copyright} 2021 SPIE.},
            issn = {0277786X},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120496362&doi=10.1117\%2f12.2603771&partnerID=40&md5=e86536ca3a5f484868bb9e0b45f84182},
            isbn = {9781510646124},
          author = {Onoyama, T. and Lu, H. and Soomro, A. A. and Mokhtar, A. A. and Kamiya, T. and Serikawa, S.},
        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}
}