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FRISPEE: FRI-Based Single Image Super-Resolution with Deep Recursive Residual Network

European Signal Processing Conference, 2022
In this paper, we propose a novel single image super-resolution algorithm that integrates a model-based approach with self-learning deep networks. The proposed method can be adapted to low-resolution (LR) images obtained with real acquisition devices ...
Renke Wang, Jun-Jie Huang, P. Dragotti
semanticscholar   +1 more source

Performance analysis of a recursive fractional super-exponential algorithm

open access: closed1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
João Gomes, V. Barroso
openalex   +2 more sources

Online Super-Resolution Imaging for Airborne Scanning Radar Based on Sliding Window RLS Algorithm

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Airborne radar high-squint looking imaging is an important research for remote sensing. The traditional Doppler beam sharpening based on fast Fourier transform (FFT) has good real-time performance but low cross-range resolution.
Jiawei Luo   +6 more
semanticscholar   +1 more source

Nonlinear Extended State Observer Based Super-Twisting Terminal Sliding Mode Synchronous Control for Parallel Drive Systems

IEEE/ASME transactions on mechatronics, 2023
Addressing the issue to restrain the nonlinear coupling disturbance in the multimotor parallel drive system and acquiring perfect driving control performance, a novel super-twisting terminal sliding mode synchronous control (STSC) is proposed.
Yuxiang Ma, Tao Qin, Yunhua Li
semanticscholar   +1 more source

Recursive super-resolution algorithm for low-elevation target angle tracking in multipath

open access: closed, 1994
Conventional methods of tracking a target using monopulse radar are severely limited in the presence of multipath, particularly at low-elevation angles.
Kai‐Bor Yu
openalex   +2 more sources

Spatio-Temporal Super-Resolution for CS-Based ToF 3D Imaging

European Signal Processing Conference, 2023
Time-of-Flight cameras, especially the ones featuring sensors built upon macro-pixel architectures, are generally characterized by lower resolutions than other imaging modalities.
A. L. Paredes   +4 more
semanticscholar   +1 more source

Video Super-Resolution With Multi-Level Attention

2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC), 2023
A video super-resolution reconstruction algorithm with multi-level attention is proposed to fully utilize the abundant inter-frame redundancy information and balance the trade-off between reconstruction performance and speed.
Ouyang Ning, Zhishan Ou, Leping Lin
semanticscholar   +1 more source

A super-resolution reconstruction algorithm based on feature fusion

Cybersecurity and Cyberforensics Conference, 2020
Super-resolution reconstruction is a technique for recovering corresponding high-resolution images from low-resolution images. Aiming at the problem of insufficient learning ability of the generative network in the SRGAN, a super-resolution ...
Lin Wang, Siqi Yang, Jingqiang Jia
semanticscholar   +1 more source

Traffic Mosaic: Traffic Data Imputation Method Inspired by Image Super Resolution

Transportation Research Record, 2022
Missing data is a major problem in data-driven intelligent transportation systems. This study presents an imputation method, called TrafficMosaic, for effective imputation of lost traffic flow data.
Xinpeng Xu   +3 more
semanticscholar   +1 more source

A numerical study for a novel super-time-stepping method with one-dimensional nonlinear parabolic equations

Other Conferences, 2022
For solving nonlinear parabolic partial differential equations, some explicit methods have strict time step constraints and implicit methods have poor parallel scalability.
Huan Zhang, Huidong Bai, Lin Li
semanticscholar   +1 more source

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