TY - GEN
T1 - Image decomposition based nighttime image enhancement
AU - Jiang, Xuesong
AU - Yao, Hongxun
AU - Liu, Dilin
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - Nighttime image captured at low or non-uniform illumination scene always suffers from the loss of visibility, and contains various noise and objectionable artifact. When we enlarge the amplitude of the lightness, the noise and artifact in nighttime images will be amplified. Hence, we propose a nighttime image enhancement method based on image decomposition. We decompose the input image into two components: Structure Layer contains main information of the image, and Texture Layer contains details, noise and artifact. For the Structure Layer, we apply an improved-Retinex image enhancement algorithm. To remain details and suppress noise and artifact in the Texture Layer, we use Mask Weighted Least Squares method. In the final, we fuse these two components to get the result. The experimental results demonstrate that the proposed approach can improve the perceptual quality of nighttime image while suppressing noise and artifact, and avoiding excessive reinforcement.
AB - Nighttime image captured at low or non-uniform illumination scene always suffers from the loss of visibility, and contains various noise and objectionable artifact. When we enlarge the amplitude of the lightness, the noise and artifact in nighttime images will be amplified. Hence, we propose a nighttime image enhancement method based on image decomposition. We decompose the input image into two components: Structure Layer contains main information of the image, and Texture Layer contains details, noise and artifact. For the Structure Layer, we apply an improved-Retinex image enhancement algorithm. To remain details and suppress noise and artifact in the Texture Layer, we use Mask Weighted Least Squares method. In the final, we fuse these two components to get the result. The experimental results demonstrate that the proposed approach can improve the perceptual quality of nighttime image while suppressing noise and artifact, and avoiding excessive reinforcement.
KW - Image decomposition
KW - Improved-retinex algorithm
KW - Nighttime image enhancement
KW - Noise and artifact suppression
UR - https://www.scopus.com/pages/publications/85047462292
U2 - 10.1007/978-3-319-77383-4_67
DO - 10.1007/978-3-319-77383-4_67
M3 - 会议稿件
AN - SCOPUS:85047462292
SN - 9783319773827
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 683
EP - 692
BT - Advances in Multimedia Information Processing – PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Revised Selected Papers
A2 - Zeng, Bing
A2 - Li, Hongliang
A2 - Huang, Qingming
A2 - El Saddik, Abdulmotaleb
A2 - Jiang, Shuqiang
A2 - Fan, Xiaopeng
PB - Springer Verlag
T2 - 18th Pacific-Rim Conference on Multimedia, PCM 2017
Y2 - 28 September 2017 through 29 September 2017
ER -