Results 11 to 20 of about 3,369,715 (200)
Computational Ghost Imaging with the Human Brain [PDF]
Intelligent Computing, 2023 Brain–computer interfaces are enabling a range of new possibilities and routes for augmenting human capability. Here, we propose brain–computer interfaces as a route towards forms of computation, i.e., computational imaging, that blend the brain with ...
Gao Wang, Daniele Faccio
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25,000 fps Computational Ghost Imaging with Ultrafast Structured Illumination
Electronic Materials, 2022 Computational ghost imaging, as an alternative photoelectric imaging technology, uses a single-pixel detector with no spatial resolution to capture information and reconstruct the image of a scene.
Hongxu Huang +3 more
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Mid-infrared computational temporal ghost imaging
Light: Science & ApplicationsGhost imaging in the time domain allows for reconstructing fast temporal objects using a slow photodetector. The technique involves correlating random or pre-programmed probing temporal intensity patterns with the integrated signal measured after ...
Han Wu +6 more
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Fluorescence microscope by using computational ghost imaging
MATEC Web of Conferences, 2015 We propose a fluorescence microscope by using the computational Ghost imaging (CGI) for observing a living cell for a long duration over an hour. There is a problem for observing a cell about light-induced bleaching fora ling-term observation.Toover come ...
Mizutani Yasuhiro +3 more
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SensorsThe conventional approach to phase reconstruction in Reflective Ghost Imaging (RGI) typically involves the introduction of three reference screens into the reference path, deeming the Fourier transform step indispensable.
Ziyan Chen, Jing Cheng, Heng Wu
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Deep Learning-Assisted Classification of Urinary Red Blood Cell Morphology for Glomerular Hematuria Screening: A Pilot Study. [PDF]
J Clin Lab AnalThis retrospective pilot study developed a YOLOv5l‐based deep learning system to detect and classify urinary red blood cells as isomorphic, dysmorphic, or unknown in urine sediment images. The model achieved a precision of 0.84, recall of 0.69, and F1‐score of 0.76 for dysmorphic RBCs, while sample‐level morphology scoring showed preliminary ...
Lin YL +4 more
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IEEE Access, 2022 Computational ghost imaging is a novel technique, which has a wide range of applications in many fields. As a key part of computational ghost imaging, the measurement matrix plays an important role in imaging quality and system practicability. To improve
Jiefei Han +3 more
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Computational ghost imaging by means of Fourier spectrum acquisition [PDF]
, 2020 Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: Artur Carnicer GonzalezComputational ghost imaging (CGI) is a innovative technique capable of performing imaging with a single-pixel detector (SP) by ...
Bataller Thomas, Eric
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A comparative investigation on the use of compressive sensing methods in computational ghost imaging
, 2022 Paper 109900R, 10 S.Usually, a large number of patterns are needed in the computational ghost imaging (CGI). In this work, the possibilities to reduce the pattern number by integrating compressive sensing (CS) algorithms into the CGI process are ...
Zhang, C. +5 more
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High-Quality Computational Ghost Imaging with a Conditional GAN
Photonics, 2023 In this study, we demonstrated a framework for improving the image quality of computational ghost imaging (CGI) that used a conditional generative adversarial network (cGAN).
Ming Zhao, Xuedian Zhang, Rongfu Zhang
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