A5029969744- Image Processing Techniques and Applications
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Advanced Fiber Optic Sensors
- Cardiac Imaging and Diagnostics
- Optical Network Technologies
- Advanced X-ray and CT Imaging
- Image and Signal Denoising Methods
- PAPR reduction in OFDM
- Advanced MRI Techniques and Applications
Lanzhou University of Technology
2024
First Affiliated Hospital of Gannan Medical University
2024
Xi’an University of Posts and Telecommunications
2023
Cardiac magnetic resonance imaging (CMRI) super-resolution (SR) reconstruction technology can enhance the resolution and quality of CMRI, providing experts with clearer more accurate information about cardiac structure function. This aids in rapid diagnosis abnormalities development personalized treatment plans. In processing existing bicubic degradation-based SR methods often suffer from performance degradation, resulting blurred images. To address aforementioned problem, we present a...
The orthogonal time frequency space (OTFS) technique proposed in recent years has excellent anti-Doppler shift and delay performance, enabling its application high speed communication scenarios. In this article, a particle swarm optimization (PSO) signal detection algorithm for OTFS system is proposed, an adaptive mechanism the individual learning factor global formula of designed, position update method particles improved, so as to increase convergence accuracy avoid fall into local...
Aiming at the problem that super-resolution reconstruction algorithms based on deep learning increase complexity of network model and cause a large number parameters by increasing depth neural to improve performance, an inverted N-type lightweight back projection for image is proposed. First, initial convolutional block used extract shallow features low-resolution images. Secondly, images are extracted through two rounds gradual compression restoration network. Then, combined global residual...