TY - GEN
T1 - Low-Light Image Enhancement Algorithm for Unmanned Aerial Vehicle Imagery via Color Distribution
AU - Bai, Xiaotong
AU - Wang, Dianwei
AU - Fang, Jie
AU - Li, Yuanqing
AU - Wen, Jiayin
AU - Xu, Zhijie
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Unmanned aerial vehicle (UAV) imagery captured under low-light conditions are often suffering from uneven illumination and lack of detail. To address these issues, this paper proposes a low-light image enhancement algorithm for UAV imagery, which locate different illumination regions with local color distribution. Firstly, a bright channel prior(BCP) is utilized to train the enhancement network by unsupervised learning approach. Secondly, a color distribution module is constructed to locate and enhance different illumination regions. Experimental results show that the proposed method can preserve the detailed information in images while enhancing image brightness, and enhance different illumination regions in low-light UAV images.
AB - Unmanned aerial vehicle (UAV) imagery captured under low-light conditions are often suffering from uneven illumination and lack of detail. To address these issues, this paper proposes a low-light image enhancement algorithm for UAV imagery, which locate different illumination regions with local color distribution. Firstly, a bright channel prior(BCP) is utilized to train the enhancement network by unsupervised learning approach. Secondly, a color distribution module is constructed to locate and enhance different illumination regions. Experimental results show that the proposed method can preserve the detailed information in images while enhancing image brightness, and enhance different illumination regions in low-light UAV images.
KW - bright channel prior
KW - color distribution module
KW - low-light image enhancement
KW - UAV imagery
UR - http://www.scopus.com/inward/record.url?scp=85207642729&partnerID=8YFLogxK
U2 - 10.1109/ICNLP60986.2024.10692798
DO - 10.1109/ICNLP60986.2024.10692798
M3 - Conference Proceeding
AN - SCOPUS:85207642729
T3 - 2024 6th International Conference on Natural Language Processing, ICNLP 2024
SP - 520
EP - 524
BT - 2024 6th International Conference on Natural Language Processing, ICNLP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Natural Language Processing, ICNLP 2024
Y2 - 22 March 2024 through 24 March 2024
ER -