Imaging Through Turbid Media With Vague Concentrations Based on Cosine Similarity and Convolutional Neural Network

Imaging Through Turbid Media With Vague Concentrations Based on Cosine Similarity and Convolutional Neural Network

Underwater imaging has been extensively studied to bypass the limitation aroused by scattering and absorption of water solutions. It is highly meaningful to the development of optical imaging, especially in turbid media. The existing methods developed for reconstruction of original images from speck...

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Bibliographic Details
Main Authors: Lina Zhou, Yin Xiao, Wen Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Photonics Journal
Subjects:
Image reconstruction
underwater imaging
turbid media
cosine similarity
deep learning
Online Access:https://ieeexplore.ieee.org/document/8758869/

Internet

https://ieeexplore.ieee.org/document/8758869/

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