A5101678888- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Image Processing Techniques and Applications
- Video Surveillance and Tracking Methods
- Nonlinear Dynamics and Pattern Formation
- Chaos control and synchronization
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced X-ray and CT Imaging
- Cardiac Imaging and Diagnostics
- Advanced Computational Techniques and Applications
- VLSI and Analog Circuit Testing
- Dental Health and Care Utilization
- Remote Sensing and LiDAR Applications
- Video Analysis and Summarization
- Medical Image Segmentation Techniques
- Generative Adversarial Networks and Image Synthesis
- Economic theories and models
- Embedded Systems Design Techniques
- Digital Image Processing Techniques
- Computer Graphics and Visualization Techniques
- Biofield Effects and Biophysics
- Surface Roughness and Optical Measurements
- Embedded Systems and FPGA Design
Wuhan Children's Hospital
2024
Huazhong University of Science and Technology
2024
Xi'an Jiaotong University
2024
Wuhan University of Science and Technology
2023
Affiliated Hospital of Southwest Medical University
2023
Zhejiang Shuren University
2019-2021
Tianjin University of Technology
2021
Intel (United Kingdom)
2018
Shenzhen Second People's Hospital
2015-2016
Zhejiang University
2014
Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an captured in environment with poor illumination. Recent advances this area are dominated by deep learning-based solutions, where many learning strategies, network structures, loss functions, training data, etc. have been employed. In paper, we provide a comprehensive survey to cover various aspects ranging from algorithm taxonomy unsolved open issues. To examine generalization existing methods,...
Image and video enhancement such as color constancy, low light enhancement, tone mapping on smartphones is challenging, because high-quality images should be achieved efficiently with a limited resource budget. Unlike prior works that either used very deep CNNs or large Trans-former models, we propose structure-aware lightweight Transformer, termed STAR, for real-time image enhancement. STAR formulated to capture long-range dependencies between patches, which naturally implicitly captures...
The value of delivering high pixel density and aperture ratio display at low latency lower persistence in compact form factor is being described using micro‐display as key enabler. trade‐off between field view, size scalability to meet the price targets will be discussed. broad overview system impact novel design with Intel's technologies such performance compute presented give holistic view about product vision.
This paper reviews the second AIM learned ISP challenge and provides description of proposed solutions results. The participating teams were solving a real-world RAW-to-RGB mapping problem, where to goal was map original low-quality RAW images captured by Huawei P20 device same photos obtained with Canon 5D DSLR camera. considered task embraced number complex computer vision subtasks, such as image demosaicing, denoising, white balancing, color contrast correction, demoireing, etc. target...
We propose a novel high dynamic range (HDR) video reconstruction method with new tri-exposure quad-bayer sensors. Thanks to the larger number of exposure sets and their spatially uniform deployment over frame, they are more robust noise spatial artifacts than previous varying (SVE) HDR methods. Nonetheless, motion blur from longer exposures, short inherent SVE methods remain huge obstacles. Additionally, temporal coherence must be taken into account for stability reconstruction. To tackle...
This paper describes Haydn, a hardware compilation approach which aims to combine the benefits of cycle accurate descriptions such as ease control and performance, rapid development design exploration facilities in behavioral synthesis tools. Our supports two main features: deriving architectures that meet performance goals involving metrics resource usage execution time, inferring behavior by generating code is easy verify modify from scheduled designs pipeline architectures. We report four...
Taking into account the nonlinear demand function, we have developed a multi-agent fishery economic model, where multitude of agents are bounded by rationality. The fishing decisions these driven profit gradient mechanism. To assess local stability system, analysis is performed with Jury criterion. investigation has revealed presence two conventional paths to chaos, namely, flip bifurcation and Neimark–Sacker bifurcation. This was achieved mapping regions curves Nash equilibrium....
Liposomes co-loaded with Mag and FLC were modified pyrophosphate ions (PPis) to construct a dual drug delivery system that binds strongly hydroxyapatite for the prevention treatment of dental caries.
The paper introduce the repair technology of one main algorithm - CDD algorithm, analysis breakage digital image types and corresponding methods, under condition damaged area is larger, in this we extend classical model with another TV contrasted performance repair, results show that former both on edge connection integrity consistency are better than latter. premise guarantee quality can greatly improve efficiency.
The electroencephalogram (EEG) exhibits characteristics of complexity and strong randomness. Existing deep learning models for EEG typically target specific objectives datasets, with their scalability constrained by the size dataset, resulting in limited perceptual generalization abilities. In order to obtain more intuitive, concise, useful representations brain activity, we constructed a reconstruction-based self-supervised model based on Variational Autoencoder (VAE) separate frequency...
Because of its high dynamic response speed and acceleration, rigidity positioning accuracy, the permanent magnet linear synchronous motor (PMLSM) is able to meet requirements high-speed precision CNC machine tools. However, thermal problems have seriously hampered development. This paper establishes a PMLSM temperature field model, designs cooling structure, determines boundary conditions finite element model conducts computer simulation model. The result shows that designed structure can...
Abstract With the rapid development of science and technology, application computer vision is more widely, there are great changes in all walks life. New retail can rely on this advantage to improve intelligent settlement supermarket reduce workload staff. In paper, we use deep learning train goods that need be settled, identify video during settlement. At interface, Alipay two-dimensional code generated sweep for customers. QT used display process commodity identification
Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an captured in environment with poor illumination. Recent advances this area are dominated by deep learning-based solutions, where many learning strategies, network structures, loss functions, training data, etc. have been employed. In paper, we provide a comprehensive survey to cover various aspects ranging from algorithm taxonomy open issues. To examine generalization existing methods, propose...