eprintid: 15621
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/56/21
datestamp: 2023-11-10 03:30:15
lastmod: 2023-11-10 03:30:15
status_changed: 2023-11-10 01:59:56
type: conference_item
metadata_visibility: show
creators_name: Onoyama, T.
creators_name: Lu, H.
creators_name: Soomro, A.A.
creators_name: Mokhtar, A.A.
creators_name: Kamiya, T.
creators_name: Serikawa, S.
title: Image quality improvement using local adaptive neighborhood-based dark channel prior
ispublished: pub
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
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
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.
date: 2021
publisher: SPIE
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120496362&doi=10.1117%2f12.2603771&partnerID=40&md5=e86536ca3a5f484868bb9e0b45f84182
id_number: 10.1117/12.2603771
full_text_status: none
publication: Proceedings of SPIE - The International Society for Optical Engineering
volume: 11884
refereed: TRUE
isbn: 9781510646124
issn: 0277786X
citation:   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.