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Experimental Study of Ghost Imaging in Underwater Environment

Heng Wu, Ziyan Chen, Chunhua He, Lianglun Cheng, Shaojuan Luo

2022Sensors10 citationsDOIOpen Access PDF

Abstract

Underwater imaging technique is a crucial tool for humans to develop, utilize, and protect the ocean. We comprehensively compare the imaging performance of twenty-four ghost imaging (GI) methods in the underwater environment. The GI methods are divided into two types according to the illumination patterns, the random and orthogonal patterns. Three-group simulations were designed to show the imaging performance of the twenty-four GI methods. Moreover, an experimental system was built, and three-group experiments were implemented. The numerical and experimental results demonstrate that the orthogonal pattern-based compressed sensing GI methods have strong antinoise capability and can restore clear images for underwater objects with a low measurement number. The investigation results are helpful for the practical applications of the underwater GI.

Topics & Concepts

UnderwaterComputer scienceCompressed sensingArtificial intelligenceComputer visionGeologyOceanographyRandom lasers and scattering mediaOrbital Angular Momentum in OpticsAdvanced Optical Imaging Technologies
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