Results 11 to 20 of about 270,552 (263)
Gigapixel Computational Imaging [PDF]
2011 IEEE International Conference on Computational Photography (ICCP), 2011 Today, consumer cameras produce photographs with tens of millions of pixels. The recent trend in image sensor resolution seems to suggest that we will soon have cameras with billions of pixels. However, the resolution of any camera is fundamentally limited by geometric aberrations.
Oliver S. Cossairt +2 more
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Computational Imaging with Randomness
Frontiers in Optics + Laser Science 2024 (FiO, LS), 2021 I will present our recent research efforts in computational imaging with randomness and scattering, including the use of machine learning techniques.
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Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data
NeuroImage, 2022 Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement and maternal breathing and consequently to suppress erroneous signal ...
Daniel Sobotka +10 more
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Engineering Proceedings, 2023 We consider the application of a recently developed hyperspectral broadband phase retrieval (HSPhR) technique for spectrally varying object and modulation phase masks at 100 spectral components.
Igor Shevkunov +2 more
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Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection
Sensors, 2022 Fringe projection profilometry (FPP) is widely applied to 3D measurements, owing to its advantages of high accuracy, non-contact, and full-field scanning.
Jinglei Wang +7 more
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Layerwise Computability and Image Randomness [PDF]
Theory of Computing Systems, 2017 Algorithmic randomness theory starts with a notion of an individual random object. To be reasonable, this notion should have some natural properties; in particular, an object should be random with respect to image distribution if and only if it has a random preimage. This result (for computable distributions and mappings, and Martin-Löf randomness) was
Bienvenu, Laurent +2 more
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Insights into Imaging, 2020 Objectives To study the diffusion tensor-based fiber tracking feasibility to access the male urethral sphincter complex of patients with prostate cancer undergoing Retzius-sparing robot-assisted laparoscopic radical prostatectomy (RS-RARP).
Ana S. C. Verde +7 more
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Computational Imaging for VLBI Image Reconstruction [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Accepted for publication at CVPR 2016, Project Website: http://vlbiimaging.csail.mit.edu/, Video of Oral Presentation at CVPR June 2016: https://www.youtube.com/watch?v ...
Katherine L. Bouman +5 more
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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 that collects a field that has interacted with the object.
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Multilayer Cascade Screening Strategy for Semi-Supervised Change Detection in Hyperspectral Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Change detection (CD) is an important application of remote sensing, which provides information about land cover changes on the Earth's surface.
Lian Liu +3 more
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