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Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing–sensitivity encoding (CS-SENSE)

Radiological Physics and Technology
This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T1-weighted image (T1WI) and T2-weighted image (T2WI) were acquired using a phantom created by a 3D printer.
Norikazu Koori   +12 more
openaire   +2 more sources

Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data

IEEE Transactions on Geoscience and Remote Sensing, 2023
Naveed Iqbal 0001   +3 more
openaire   +1 more source

Compressive Sensing (CS) on Wireless Sensor Network for Manufacturing Process Monitoring

2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP), 2023
Muhammad Chaerullah   +2 more
openaire   +1 more source

CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device

2017
In this chapter we present a prototype of a CS-oriented ToF camera based on the PMD. The main goal of the prototype, which has been fully developed at the ZESS, is to serve as a platform where to implement the concepts of CS and sparse recovery in spatial and frequency domains presented in Section 4.4 and Section 4.5, respectively.
openaire   +1 more source

Exploiting compressed sensing (CS) and RNA operations for effective content-adaptive image compression and encryption

Optik, 2022
Yang Lu   +5 more
openaire   +1 more source

ASAUN-CS: Adaptive Stage Activated Unfolding Network for Compressive Sensing

2024 IEEE International Symposium on Circuits and Systems (ISCAS)
Jian Yang   +4 more
openaire   +1 more source

An effective image encryption algorithm based on compressive sensing and 2D-SLIM

Optics and Lasers in Engineering, 2020
Shaobo He, Congxu Zhu, Kehui Sun
exaly  

Sparse Signal Representation, Sampling, and Recovery in Compressive Sensing Frameworks

IEEE Access, 2022
Jaroslav Frnda   +2 more
exaly  

Compressive light transport sensing

ACM Transactions on Graphics, 2009
Paul Debevec, Abhijeet Ghosh
exaly  

Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach

Structural Health Monitoring, 2020
Yuequan Bao, Li Hui, Zhiyi Tang
exaly  

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