Underwater ghost imaging based on generative adversarial networks with high imaging quality
Abstract
Ghost imaging is widely used in underwater active optical imaging because of its simple structure, long distance, and non-local imaging. However, the complexity of the underwater environment will greatly reduce the imaging quality of ghost imaging. To solve this problem, an underwater ghost imaging method based on the generative adversarial networks is proposed in the study. The generator of the proposed network adopts U-Net with the double skip...
Paper Details
Title
Underwater ghost imaging based on generative adversarial networks with high imaging quality
Published Date
Aug 18, 2021
Journal
Volume
29
Issue
18
Pages
28388 - 28388
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