A Dual-Path Computational Ghost Imaging Method Based on Convolutional Neural Networks

Ghost imaging is a technique for indirectly reconstructing images by utilizing the second-order or higher-order correlation properties of the light field, which exhibits a robust ability to resist interference. On the premise of ensuring the quality of the image, effectively broadening the imaging r...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Hexiao Wang, Jianan Wu, Mingcong Wang, Yu Xia
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Subjects:	computational ghost imaging convolutional neural network dual imaging self-attention mechanism image reconstruction
Online Access:	https://www.mdpi.com/1424-8220/24/23/7869