A5016220434- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Additive Manufacturing and 3D Printing Technologies
- Thermal Expansion and Ionic Conductivity
- Advanced Battery Materials and Technologies
- Advanced Image Processing Techniques
- Layered Double Hydroxides Synthesis and Applications
- Photoacoustic and Ultrasonic Imaging
- Injection Molding Process and Properties
- Thermography and Photoacoustic Techniques
- Sentiment Analysis and Opinion Mining
- Regional Development and Environment
- Image Enhancement Techniques
- Infrared Target Detection Methodologies
- Additive Manufacturing Materials and Processes
- Photopolymerization techniques and applications
- Medical Research and Treatments
- Visual Attention and Saliency Detection
- CCD and CMOS Imaging Sensors
- Image Processing Techniques and Applications
Foshan University
2024
Northeastern University
2023-2024
Chinese Academy of Sciences
2023-2024
University of Chinese Academy of Sciences
2023-2024
Shanghai Institute of Ceramics
2023-2024
Czech Academy of Sciences, Institute of Physics
2024
Shandong University
2024
Wuhan Institute of Technology
2022-2023
Mixed (random and stripe) noise will cause serious degradation of optical remotely sensed image quality, making it hard to analyze their contents. In order remove such noise, various inverse problems are usually constructed with different priors, which can be solved by either model-based optimization methods or discriminative learning methods. However, they have own drawbacks, as the former flexible but time-consuming for pursuit good performance; while later fast limited extensive...
Room-temperature sodium-sulfur (RT Na-S) batteries has attracted growing attentions in large-scale energy storage technology, while the serious shuttle effect and interface side reaction limit its practical application. Despite fluoroethylene carbonate (FEC) been widely used as an electrolyte additive or co-solvent to facilitate optimization of electrode-electrolyte interphase RT Na-S batteries, crucial influence mechanism have not clearly understood. Herein, we deeply reveal two-steps...
Remotely sensed images degraded by additive white Gaussian noise (AWGN) have low-level vision, resulting in a poor analysis of their contents. To reduce AWGN, two types denoising strategies, sparse-coding-model-based and deep-neural-network-based (DNN), are commonly utilized, which respective merits drawbacks. For example, the former pursue enjoyable performance with high computational burden, while latter powerful capacity completing specified task efficiently, but this limits application...
The additive Gaussian white noise (AGWN) level in real-life images is usually unknown, for which the empirical setting will make denoising methods over-smooth fine structures or remove incompletely. previous estimation are easily lost accurately estimating them from with complicated structures. To cope this issue, we propose a novel scheme based on Chi-square distribution, including following key points: First, degraded image divided into many patches through sliding window. Then, flat...
Room‐temperature sodium‐sulfur (RT Na‐S) batteries has attracted growing attentions in large‐scale energy storage technology, while the serious shuttle effect and interface side reaction limit its practical application. Despite fluoroethylene carbonate (FEC) been widely used as an electrolyte additive or co‐solvent to facilitate optimization of electrode‐electrolyte interphase RT Na‐S batteries, crucial influence mechanism have not clearly understood. Herein, we deeply reveal two‐steps...