Results 11 to 20 of about 724,157 (279)

Quantum-inspired computational imaging [PDF]

Science, 2018
Computational imaging combines measurement and computational methods with the aim of forming images even when the measurement conditions are weak, few in number, or highly indirect.
Altmann, Yoann, Faccio, Daniele, Goyal, Vivek K., Hero, Alfred O., McLaughlin, Stephen, Padgett, Miles J.   +5 more
core   +4 more sources

Learning Wavefront Coding for Extended Depth of Field Imaging [PDF]

, 2020
Depth of field is an important factor of imaging systems that highly affects the quality of the acquired spatial information. Extended depth of field (EDoF) imaging is a challenging ill-posed problem and has been extensively addressed in the literature ...
Akpinar, Ugur, Gotchev, Atanas, Meem, Monjurul, Menon, Rajesh, Sahin, Erdem   +4 more
core   +2 more sources

Deep learning in optical metrology: a review

Light: Science & Applications, 2022
With the advances in scientific foundations and technological implementations, optical metrology has become versatile problem-solving backbones in manufacturing, fundamental research, and engineering applications, such as quality control, nondestructive ...
Chao Zuo, Jiaming Qian, Shijie Feng, Wei Yin, Yixuan Li, Pengfei Fan, Jing Han, Kemao Qian, Qian Chen   +8 more
doaj   +1 more source

Computational Imaging

The Review of Laser Engineering, 2022
AbstractSince the advent of smartphones, photography is increasingly being done with small, portable, multi-function devices. Relative to the purpose-built cameras that dominated previous eras, smartphone cameras must overcome challenges related to their small form factor.
openaire   +2 more sources

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The attention mechanism is one of the most influential ideas in the deep learning community, which has shown excellent efficiency in various computer vision tasks.
Haotian Zhang, Jing Yao, Li Ni, Lianru Gao, Min Huang   +4 more
doaj   +1 more source

A perturbation approach for ultrafast calculation of RF field enhancements near medical implants in MRI

Scientific Reports, 2022
Patients with medical implants often are deprived of magnetic resonance imaging examination because of safety risks. One specific risk is the enhancement of the radiofrequency fields around the medical implant potentially resulting in significant tissue ...
Peter R. S. Stijnman, Bart R. Steensma, Cornelis A. T. van den Berg, Alexander J. E. Raaijmakers   +3 more
doaj   +1 more source

Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Target detection is a critical task in interpreting aerial images. Small target detection, such as vehicles, is challenging. Different lighting conditions affect the accuracy of vehicle detection.
Yuanfeng Wu, Xinran Guan, Boya Zhao, Li Ni, Min Huang   +4 more
doaj   +1 more source

Video-rate computational super-resolution and integral imaging at longwave-infrared wavelengths [PDF]

, 2017
We report the first computational super-resolved, multi-camera integral imaging at long-wave infrared (LWIR) wavelengths. A synchronized array of FLIR Lepton cameras was assembled, and computational super-resolution and integral-imaging reconstruction ...
Carles, Guillem, Harvey, Andrew R., Preciado, Miguel A.   +2 more
core   +2 more sources

Computational LADAR imaging

Applied Optics, 2017
Most LADAR (laser radar, LIDAR) imaging systems use pixel-basis sampling, where each azimuth and elevation resolution element is uniquely sampled and recorded. We demonstrate and examine alternative sampling and post-detection processing schemes where recorded measurements are made in alternative bases that are intended to reduce system power ...
Arthita, Ghosh, Michael A, Powers, Vishal M, Patel   +2 more
openaire   +2 more sources

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, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sebastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro   +10 more
doaj   +1 more source