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Jun Ke
School of Optics and Photonics
h-index
440
Citations
12
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2005
2024
Research activity per year
Overview
Fingerprint
Network
Research output
(84)
Fingerprint
Dive into the research topics where Jun Ke is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Engineering
Analog Bandwidth
9%
Block Size
27%
Color Coding
9%
Component Analysis
22%
Compressed Sensing
54%
Compressive Sensing
48%
Conventional Method
10%
Convolutional Neural Network
9%
Deep Learning
36%
Design Matrix
13%
Detector Array
14%
Dictionary Learning
9%
Dynamic Range
11%
Experimental Result
28%
Fourier Transform
27%
Frame Object
18%
Frame Rate
13%
Graphics Processing Unit
18%
High Resolution
52%
Image Analysis
11%
Image Reconstruction
40%
Imaging Systems
100%
Joints (Structural Components)
18%
Laser Wavelength
9%
Light Level
36%
Light Source
12%
Limitations
10%
Linear Combination
15%
Low Resolution Image
20%
Mean Square Error
10%
Mean-Squared-Error
9%
Measurement Matrix
20%
Measurement Resolution
9%
Measurement Signal
11%
Measurement System
11%
Metrics
12%
Optical Design
18%
Orthogonal Matching Pursuit
13%
Principal Components
27%
Pursuit Algorithm
12%
Resolution Image
21%
Root-Mean-Squared Error
21%
Scattering Medium
13%
Sensing Method
13%
Signal Reconstruction
11%
Signal-to-Noise Ratio
14%
Simulation Result
10%
Spatial Resolution
28%
Super-Resolution Imaging
12%
Transmissions
9%
Computer Science
3D Convolutional Neural Networks
9%
Attention (Machine Learning)
18%
Collection Process
9%
Compressed Sensing
39%
Computational Photography
9%
Decomposition Method
13%
Deep Learning
25%
Deep Residual Network
18%
Detector Array
9%
Dictionary Learning
9%
Error Estimation
9%
Experimental Result
30%
Good Performance
9%
Image Capture
9%
Image Processing
10%
Image Quality
22%
Image Reconstruction
40%
Image Sensors
9%
Imaging Systems
58%
Learning Approach
9%
Linear Combination
11%
Low Resolution Image
19%
Lower Light Level
27%
Matrix Measurement
10%
Neural Network
18%
Noise-to-Signal Ratio
17%
Object Reconstruction
10%
Postprocessing
9%
Principal Components
9%
reconstruction algorithm
9%
Reconstruction Error
18%
Reconstruction Problem
9%
Residual Neural Network
11%
Root Mean Squared Error
12%
Sampling Ratio
9%
Scattering Medium
21%
Signal Reconstruction
9%
Spatial Correlation
9%
Spatial Resolution
31%
Spectral Imaging
9%
Spectral Signature
9%
Structured Light
9%
Subsequent Processing
9%
super resolution
36%
Super-Resolution Imaging
9%
Systems Performance
13%
Temporal Correlation
9%
Time Resolution
11%
Trained Network
9%
U-Net
9%
Physics
Atmospheric Turbulence
9%
Bioimaging
9%
Compressed Sensing
72%
Continuous Wave Laser
9%
Convolutional Neural Network
22%
Data Acquisition
21%
Data Compression
9%
Data Sampling
9%
Deep Learning
45%
Dynamic Range
18%
Gaussian Distribution
13%
High Resolution
47%
Holography
18%
Image Analysis
9%
Image Classification
6%
Image Reconstruction
13%
Image Restoration
6%
Laser Beams
14%
Laser Source
18%
Light Emitting Diode
9%
Line of Sight
27%
Linewidth
9%
Near Infrared
18%
Neural Network
22%
Noise Measurement
9%
Optical Imaging
9%
Optical Radar
18%
Optics
9%
Photocathode
9%
Pulsed Laser
13%
Random Noise
9%
Satellite Communication
9%
Sensor Network
9%
Shape Function
9%
Signal-to-Noise Ratio
18%
Spectral Band
9%
