Results 151 to 160 of about 3,276,837 (200)

Exploiting high-quality reconstruction image encryption strategy by optimized orthogonal compressive sensing. [PDF]

Sci Rep
Wen H, Yang L, Bai C, Lin Y, Liu T, Chen L, Hu Y, He D.   +7 more
europepmc   +1 more source

DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification. [PDF]

J Imaging Inform Med
Ragab DA, Fayed S, Ghatwary N.
europepmc   +1 more source

Compressing and Recovering Short-Range MEMS-Based LiDAR Point Clouds Based on Adaptive Clustered Compressive Sensing and Application to 3D Rock Fragment Surface Point Clouds. [PDF]

Sensors (Basel)
Li L, Wang H, Wang S.
europepmc   +1 more source

High-throughputin vivosynaptic connectivity mapping of neuronal micro-circuits using two-photon holographic optogenetics and compressive sensing

, 2023
Chen I, Chan CY, Navarro P, de Sars V, Ronzitti E, Oweiss K, Tanese D, Emiliani V.   +7 more
europepmc   +1 more source

HyperTRCSS: A hyperspectral time-resolved compressive sensing spectrometer for depth-sensitive monitoring of cytochrome-c-oxidase and blood oxygenation. [PDF]

J Biomed Opt
Li NC, Ioussoufovitch S, Diop M.
europepmc   +1 more source

Video compressive sensing for dynamic MRI

BMC Neuroscience, 2012
Shi Jianing V, Sankaranarayanan Aswin C, Studer Christoph, Baraniuk Richard G   +3 more
doaj   +1 more source

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Recognition-Oriented Image Compressive Sensing With Deep Learning

IEEE transactions on multimedia, 2023
A number of image compressive sensing (CS) algorithms were proposed in the past two decades, aiming at yielding recovered images with the best possible visual effect. However, it is quite difficult to further improve the image quality for human eyes. For
Siwang Zhou, Xiaoning Deng, Chengqing Li, Yonghe Liu, Hongbo Jiang   +4 more
semanticscholar   +1 more source

Physics-Inspired Compressive Sensing: Beyond deep unrolling

IEEE Signal Processing Magazine, 2023
As an emerging paradigm for signal acquisition and reconstruction, compressive sensing (CS) achieves high-speed sampling and compression jointly and has found its way into many applications.
Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang   +3 more
semanticscholar   +1 more source

Compressive Sensing

Electronic Sensor Design Principles, 2022
M. Chiani
semanticscholar   +3 more sources