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Image quality improvement using local adaptive neighborhood-based dark channel prior

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 degradatio...

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Main Authors: Onoyama, T., Lu, H., Soomro, A.A., Mokhtar, A.A., Kamiya, T., Serikawa, S.
Format: Conference or Workshop Item
Published: SPIE 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120496362&doi=10.1117%2f12.2603771&partnerID=40&md5=e86536ca3a5f484868bb9e0b45f84182
http://eprints.utp.edu.my/29364/
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spelling my.utp.eprints.293642022-03-25T01:34:46Z Image quality improvement using local adaptive neighborhood-based dark channel prior Onoyama, T. Lu, H. Soomro, A.A. Mokhtar, A.A. Kamiya, T. Serikawa, S. 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. SPIE 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120496362&doi=10.1117%2f12.2603771&partnerID=40&md5=e86536ca3a5f484868bb9e0b45f84182 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. http://eprints.utp.edu.my/29364/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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.
format Conference or Workshop Item
author Onoyama, T.
Lu, H.
Soomro, A.A.
Mokhtar, A.A.
Kamiya, T.
Serikawa, S.
spellingShingle Onoyama, T.
Lu, H.
Soomro, A.A.
Mokhtar, A.A.
Kamiya, T.
Serikawa, S.
Image quality improvement using local adaptive neighborhood-based dark channel prior
author_facet Onoyama, T.
Lu, H.
Soomro, A.A.
Mokhtar, A.A.
Kamiya, T.
Serikawa, S.
author_sort Onoyama, T.
title Image quality improvement using local adaptive neighborhood-based dark channel prior
title_short Image quality improvement using local adaptive neighborhood-based dark channel prior
title_full Image quality improvement using local adaptive neighborhood-based dark channel prior
title_fullStr Image quality improvement using local adaptive neighborhood-based dark channel prior
title_full_unstemmed Image quality improvement using local adaptive neighborhood-based dark channel prior
title_sort image quality improvement using local adaptive neighborhood-based dark channel prior
publisher SPIE
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120496362&doi=10.1117%2f12.2603771&partnerID=40&md5=e86536ca3a5f484868bb9e0b45f84182
http://eprints.utp.edu.my/29364/
_version_ 1738656955434532864
score 13.211869

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