Retina-like Computational Ghost Imaging for an Axially Moving Target [PDF]
Sensors, 2022 Unlike traditional optical imaging schemes, computational ghost imaging (CGI) provides a way to reconstruct images with the spatial distribution information of illumination patterns and the light intensity collected by a single-pixel detector or bucket ...
Yingqiang Zhang +5 more
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Experimental demonstration of spectral domain computational ghost imaging [PDF]
Scientific Reports, 2021 We demonstrate computational spectral-domain ghost imaging by encoding complementary Fourier patterns directly onto the spectrum of a superluminescent laser diode using a programmable spectral filter.
Piotr Ryczkowski +3 more
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An optical multiple-image authentication based on computational ghost imaging and total-variation minimization [PDF]
Heliyon, 2023 An optical multiple-image authentication is suggested using computational ghost imaging and total-variation minimization. Differing from encrypting multiple images into a noise-like ciphertext directly, as described in most conventional authentication ...
Yaoling Zhou +6 more
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A Novel Approach of Parallel Retina-Like Computational Ghost Imaging [PDF]
Sensors, 2020 Computational ghost imaging (CGI), with the advantages of wide spectrum, low cost, and robustness to light scattering, has been widely used in many applications. The key issue is long time correlations for acceptable imaging quality.
Jie Cao +5 more
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A W-Shaped Self-Supervised Computational Ghost Imaging Restoration Method for Occluded Targets [PDF]
SensorsWe developed a novel method based on self-supervised learning to improve the ghost imaging of occluded objects. In particular, we introduced a W-shaped neural network to preprocess the input image and enhance the overall quality and efficiency of the ...
Yu Wang +6 more
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Fast high quality computational ghost imaging based on saliency variable sampling detection [PDF]
Scientific ReportsFast computational ghost imaging with high quality and ultra-high-definition resolution reconstructed images has important application potential in target tracking, biological imaging and other fields.
Xuan Liu +8 more
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DeepGhost: real-time computational ghost imaging via deep learning [PDF]
Scientific Reports, 2020 The potential of random pattern based computational ghost imaging (CGI) for real-time applications has been offset by its long image reconstruction time and inefficient reconstruction of complex diverse scenes.
Saad Rizvi +3 more
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A Dual-Path Computational Ghost Imaging Method Based on Convolutional Neural Networks [PDF]
SensorsGhost 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.
Hexiao Wang +3 more
doaj +2 more sources
IEEE Photonics Journal, 2021 Ghost Imaging has been extensively explored for 25 years for a two reasons: the rich physics of second-order photon correlations that enable this imaging scheme and the possibility of implementing new imaging protocols with interesting real-life ...
Marie Braasch +3 more
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Illumination Calibration for Computational Ghost Imaging
Photonics, 2021 We propose a fast calibration method to compensate the non-uniform illumination in computational ghost imaging. Inspired by a similar procedure to calibrate pixel response differences for detector arrays in conventional digital cameras, the proposed ...
Song-Ming Yan +3 more
doaj +1 more source