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Computational Ghost Imaging [PDF]
Physical Review A, 2008 Ghost-imaging experiments correlate the outputs from two photodetectors: a high spatial-resolution (scanning pinhole or CCD camera) detector that measures a field which has not interacted with the object to be imaged, and a bucket (single-pixel) detector
Shapiro, Jeffrey H
core +2 more sources
Computational polarimetric microwave imaging [PDF]
Optics Express, 2017 We propose a polarimetric microwave imaging technique that exploits recent advances in computational imaging. We utilize a frequency-diverse cavity-backed metasurface, allowing us to demonstrate high-resolution polarimetric imaging using a single ...
Fromenteze, Thomas +5 more
core +10 more sources
3D Computational Ghost Imaging [PDF]
The Rochester Conferences on Coherence and Quantum Optics and the Quantum Information and Measurement meeting, 2013 Computational ghost imaging retrieves the spatial information of a scene using a single pixel detector. By projecting a series of known random patterns and measuring the back reflected intensity for each one, it is possible to reconstruct a 2D image of ...
Bowman, Ardrian +6 more
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Metasurface optics for full-color computational imaging. [PDF]
Sci Adv, 2018 Conventional imaging systems comprise large and expensive optical components which successively mitigate aberrations. Metasurface optics offers a route to miniaturize imaging systems by replacing bulky components with flat and compact implementations ...
Colburn S, Zhan A, Majumdar A.
europepmc +2 more sources
Just-in-time deep learning for real-time X-ray computed tomography
Scientific Reports, 2023 Real-time X-ray tomography pipelines, such as implemented by RECAST3D, compute and visualize tomographic reconstructions in milliseconds, and enable the observation of dynamic experiments in synchrotron beamlines and laboratory scanners.
Adriaan Graas +3 more
doaj +1 more source
Beam filtration for object-tailored X-ray CT of multi-material cultural heritage objects
Heritage Science, 2023 Computed tomography (CT) is a powerful non-invasive tool to analyze cultural heritage objects by allowing museum professionals to obtain 3D information about the objects’ interior.
Maximilian B. Kiss +6 more
doaj +1 more source
Scientific Data, 2023 Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images.
Maximilian B. Kiss +4 more
doaj +1 more source
CT-based data generation for foreign object detection on a single X-ray projection
Scientific Reports, 2023 Although X-ray imaging is used routinely in industry for high-throughput product quality control, its capability to detect internal defects has strong limitations.
Vladyslav Andriiashen +3 more
doaj +1 more source
Scientific Reports, 2021 Dendrochronology is an essential tool to determine the date and provenance of wood from historical art objects. As standard methods to access the tree rings are invasive, X-ray computed tomography (CT) has been proposed for non-invasive ...
Francien G. Bossema +7 more
doaj +1 more source
Automated image computing reshapes computational neuroscience [PDF]
BMC Bioinformatics, 2013 We briefly identify several critical issues in current computational neuroscience, and present our opinions on potential solutions based on bioimage informatics, especially automated image computing.
Peng, Hanchuan +2 more
openaire +2 more sources