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Deep Feature Translation Network Guided by Combined Loss for Single Image Super-Resolution
Mingyang Guan,
Dandan Song
*
, Linmi Tao
*
此作品的通讯作者
计算机学院
Beijing Institute of Technology
Ministry of Education in China
Tsinghua University
科研成果
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探究 'Deep Feature Translation Network Guided by Combined Loss for Single Image Super-Resolution' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
High Resolution
100%
Single Image
100%
Resolution Image
60%
Quality Objective
40%
Perceptual Quality
40%
Metrics
20%
Natural Image
20%
Low Resolution Image
20%
Image Processing
20%
Construction Process
20%
Multiscale
20%
Signal-to-Noise Ratio
20%
Peak Signal
20%
Real Image
20%
Mean-Squared-Error
20%
Loss Function
20%
Medical Image
20%
Computer Science
Single-Image Super Resolution
100%
Quality Objective
66%
Translation Process
33%
Medical Image Processing
33%