Adaptive underwater image recovery using polarimetric imaging

2019 ◽  
Author(s):  
Zheng Liang ◽  
Congcong Zhao ◽  
Yafei Wang ◽  
Xueyan Ding ◽  
Zetian Mi ◽  
...  
Keyword(s):  
Image Recovery ◽  
Underwater Image ◽  
Polarimetric Imaging

scholarly journals Underwater Image Recovery Under the Nonuniform Optical Field Based on Polarimetric Imaging

2018 ◽  
Vol 10 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Haofeng Hu ◽  
Lin Zhao ◽  
Xiaobo Li ◽  
Hui Wang ◽  
Tiegen Liu
Keyword(s):  
Optical Field ◽  
Image Recovery ◽  
Underwater Image ◽  
Polarimetric Imaging

Underwater image recovery utilizing polarimetric imaging based on neural networks

2021 ◽  
Vol 60 (27) ◽  
pp. 8419
Author(s):  
Ran Zhang ◽  
Xinyuan Gui ◽  
Haoyuan Cheng ◽  
Jinkui Chu
Keyword(s):  
Neural Networks ◽  
Image Recovery ◽  
Underwater Image ◽  
Polarimetric Imaging

scholarly journals Underwater 2D Image Acquisition Using Sequential Striping Illumination

2019 ◽  
Vol 9 (11) ◽  
pp. 2179
Author(s):  
Benxing Gong ◽  
Guoyu Wang
Keyword(s):  
Image Acquisition ◽  
Scattered Light ◽  
Forward Scattering ◽  
Image Recovery ◽  
Underwater Imaging ◽  
Scattering Problems ◽  
Structured Lighting ◽  
Underwater Image ◽  
Scattering Effects ◽  
Scanning Systems

Structured lighting techniques have increasingly been employed in underwater imaging, where scattering effects cannot be ignored. This paper presents an approach to underwater image recovery using structured light as a scanning mode. The method tackles both the forward scattering and back scattering problems. By integrating each of the sequentially striping illuminated frame images, we generate a synthesized image that can be modeled on the convolution of the surface albedo and the illumination function. Thus, image acquisition is issued as a problem of image recovery by deconvolution. The convolutional model has the advantage of integrating the forward scattering light into a recovered image so as to eliminate image blur. Notably, the removal of the back scattered light from each frame image can be easily realized by a virtual aperture to limit the field of view; the same principle as of the synchronous scanning systems in underwater imaging. Herein, the implementation of the proposed approach is described, and the results of the underwater experiments are presented.

Recent advances in underwater image restoration technique based on polarimetric imaging

2019 ◽  
Vol 48 (6) ◽  
pp. 603006
Author(s):  
胡浩丰 Hu Haofeng ◽  
李校博 Li Xiaobo ◽  
刘铁根 Liu Tiegen
Keyword(s):  
Image Restoration ◽  
Recent Advances ◽  
Underwater Image ◽  
Restoration Technique ◽  
Polarimetric Imaging

Polarimetric underwater image recovery via deep learning

2020 ◽  
Vol 133 ◽  
pp. 106152
Author(s):  
Haofeng Hu ◽  
Yanbin Zhang ◽  
Xiaobo Li ◽  
Yang Lin ◽  
Zhenzhou Cheng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Recovery ◽  
Underwater Image

scholarly journals Underwater image recovery considering polarization effects of objects

2016 ◽  
Vol 24 (9) ◽  
pp. 9826 ◽  
Author(s):  
Bingjing Huang ◽  
Tiegen Liu ◽  
Haofeng Hu ◽  
Jiahui Han ◽  
Mingxuan Yu
Keyword(s):  
Image Recovery ◽  
Polarization Effects ◽  
Underwater Image

Underwater image recovery method based on hyperspectral polarization imaging

2021 ◽  
Vol 484 ◽  
pp. 126691
Author(s):  
Jiamin Qian ◽  
Jianxin Li ◽  
Yubo Wang ◽  
Jie Liu ◽  
Jiaxin Wang ◽  
...  
Keyword(s):  
Image Recovery ◽  
Polarization Imaging ◽  
Recovery Method ◽  
Underwater Image

scholarly journals Underwater Image Recovery Using Structured Light

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 77183-77189 ◽  
Author(s):  
Gong Benxing ◽  
Guoyu Wang
Keyword(s):  
Structured Light ◽  
Image Recovery ◽  
Underwater Image

Polarimetric underwater image recovery for color image with crosstalk compensation

2020 ◽  
Vol 124 ◽  
pp. 105833 ◽  
Author(s):  
Tiegen Liu ◽  
Zijian Guan ◽  
Xiaobo Li ◽  
Zhenzhou Cheng ◽  
Yingdong Han ◽  
...  
Keyword(s):  
Color Image ◽  
Image Recovery ◽  
Underwater Image
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