D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing
By mapping iterative optimization algorithms into neural networks (NNs), deep unfolding
networks (DUNs) exhibit well-defined and interpretable structures and achieve remarkable …
networks (DUNs) exhibit well-defined and interpretable structures and achieve remarkable …
A Real-Time and Robust Neural Network Model for Low-Measurement-Rate Compressed-Sensing Image Reconstruction
P Chen, H Song, Y Zeng, X Guo, C Tang - Entropy, 2023 - mdpi.com
Compressed sensing (CS) is a popular data compression theory for many computer vision
tasks, but the high reconstruction complexity for images prevents it from being used in many …
tasks, but the high reconstruction complexity for images prevents it from being used in many …
Efficient near-field radiofrequency imaging of impact damage on CFRP materials with learning-based compressed sensing
H Song, Z Wang, Y Zeng, X Guo, C Tang - Materials, 2022 - mdpi.com
Carbon fiber-reinforced polymer (CFRP) is a widely-used composite material that is
vulnerable to impact damage. Light impact damages destroy the inner structure but barely …
vulnerable to impact damage. Light impact damages destroy the inner structure but barely …
Landweber Iteration‐Inspired Network for Image Super‐Resolution
X Li, L Wang, X Liu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Image super‐resolution (SR) is one of the classical ill‐posed image processing issues to
generate high‐resolution (HR) images from given low‐resolution (LR) instances. Recent SR …
generate high‐resolution (HR) images from given low‐resolution (LR) instances. Recent SR …
Enhanced Through-the-wall Radar Imaging Based on ADMM-Net
Q Hu, L Qu, Y Yang - 2024 Photonics & Electromagnetics …, 2024 - ieeexplore.ieee.org
Through-the-wall radar (TWR) images via the back projection (BP) imaging algorithm
contain high levels of sidelobes, which makes it difficult to identify weak scattering targets …
contain high levels of sidelobes, which makes it difficult to identify weak scattering targets …