A5033774962- Advanced Measurement and Detection Methods
- Guidance and Control Systems
- Electromagnetic Launch and Propulsion Technology
- Infrared Target Detection Methodologies
- Optical Systems and Laser Technology
- Photoacoustic and Ultrasonic Imaging
- Energetic Materials and Combustion
- Advanced Research in Science and Engineering
- Image Enhancement Techniques
- Intraocular Surgery and Lenses
- Soft Robotics and Applications
- Biomimetic flight and propulsion mechanisms
- Ergonomics and Musculoskeletal Disorders
- Innovative Energy Harvesting Technologies
- Hydraulic and Pneumatic Systems
- Rocket and propulsion systems research
- Robotic Locomotion and Control
- Thermal and Kinetic Analysis
- Gaze Tracking and Assistive Technology
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
- Aerospace Engineering and Energy Systems
- Adaptive Control of Nonlinear Systems
- Human-Automation Interaction and Safety
- Retinal and Macular Surgery
Beijing Institute of Technology
2005-2025
Anhui University
2009
University of Science and Technology Beijing
2007
Abstract Thermal images are prone to significant degradation due noise, low contrast, and loss of fine details, which poses challenges in many practical applications. Traditional image restoration techniques, particularly those developed for the RGB domain, struggle effectively balance noise reduction, contrast improvement, detail preservation when applied thermal images. In this work, a novel two‐stage deep learning framework designed address these issues is proposed. The approach separates...
Thermal images, extensively utilized in various communication applications, are concurrently impacted by noise, contrast, and details. However, existing image restoration methods, designed for RGB domain, exhibit suboptimal effects when applied to thermal domain due a lack of consideration the interaction between noise consequently resulting detail losses. In this letter, we propose two-stage deep network based on enhancemnet. Our decouples task into denoising stage contrast improvement...
Physiological hand tremor severely affect the accuracy of manipulation ophthalmology robot. Ophthalmologic operation is performed under microscope, where circular continuous curvilinear capsulorhexis during cataract surgery a typical in ophthalmologic surgical requires high accuracy, so suppression demand. We introduced three methods: The Weighted Frequency Fourier Linear Combiner(WFLC), Kalman Filter(KF) and Moving Average Filter(MAF) to clarify effect on physiological suppression. Haptic...
The advantage of the adaptive filter is that it can automatically adjust parameters in filtering process when statistical characteristics input signal are unknown. Therefore, achieve better results applied to image processing than traditional methods. For pepper and salt noise, algorithm this paper based on judging difference gray level using fuzzy function image. Through comparison normalized mean square error (NMSE) peak noise ratio (PSNR), advantages proposed over preserving details verified.
The traditional multi joint bionic fish propulsion system has complex control system, few joints and irregular fluctuation. Aiming at these shortcomings, a dolphin with elastic damping structure is designed. In this paper, according to the motion model dynamic of dolphin, law compound tail fin determined. Through fluid simulation calculation structure, frequency amplitude parameters are determined, load obtained. Based on parameters, tin process simulation, by adjusting material density,...
Abstract In response to the energy density and fast activation requirements of small caliber ammunition fuzes for power supplies, this paper designs a piezoelectric stacked physical supply that can generate electrical using setback acceleration generated at moment firing as source. The structure according performance parameters selected materials tests generation simulated experimental setup. results demonstrate output voltage has linear relationship with load. When charges capacitor, across...