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SMC-SRGAN-Lightning super-resolution algorithm based on optical micro-scanning thermal microscope image
Meijing Gao
*
, Yang Bai, Yunjia Xie, Bozhi Zhang, Shiyu Li, Zhilong Li
*
此作品的通讯作者
集成电路与电子学院
Yanshan University
Beijing Institute of Technology
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探究 'SMC-SRGAN-Lightning super-resolution algorithm based on optical micro-scanning thermal microscope image' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Attention (Machine Learning)
25%
Computational Efficiency
25%
Convolution Layer
25%
Deep Learning
25%
Essential Feature
25%
Experimental Result
25%
Image Quality
50%
Imaging Systems
50%
Microscope Image
100%
MobileNetV2
50%
Reconstructed Image
25%
Spatial Resolution
50%
super resolution
100%
The Super-Resolution Generative Adversarial Network
100%
Engineering
Blurriness
33%
Computational Efficiency
33%
Deep Learning
33%
Essential Feature
33%
Experimental Result
33%
Imaging Systems
66%
Obtained Image
33%
Reconstructed Image
33%
Spatial Resolution
66%
Super-Resolution Algorithm
100%
Earth and Planetary Sciences
Lightning
100%
Spatial Resolution
100%
Physics
Deep Learning
100%