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Learning ramp transformation for single image super-resolution
Abhishek Singh,
Narendra Ahuja
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Siebel School of Computing and Data Science
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Keyphrases
2D Filter
33%
Absolute Brightness
33%
Back-projection
33%
Brightness Consistency
33%
Closely Spaced
33%
Color Image
33%
Edge-based
66%
Gradient Domain
33%
Gradient Method
33%
Gradient Value
33%
Gradient-based
33%
High Spatial Frequency
33%
Homogeneous Regions
66%
Image Intensity
33%
Image Structure
33%
Intensity Domains
33%
Intensity Value
33%
Learning Gradients
33%
Problem Resolution
66%
Ramp-edge
33%
Regularization Framework
33%
Ring Artifacts
33%
Single Image Super-resolution
100%
Super-resolution
33%
Super-resolution Algorithm
100%
Super-resolution Reconstruction
33%
Thin Structures
33%
True Image
33%
Engineering
Color Image
50%
Constrains
50%
Data Term
50%
Homogeneous Region
100%
Image Intensity
50%
Intensity Value
50%
Regularization
50%
Single Image
100%
Spatial Frequency
50%
Test Image
50%
Computer Science
Backprojection
20%
Image Intensity
20%
Intensity Value
20%
Regularization
20%
Resolution Method
60%
Ringing Artifact
20%
Single-Image Super Resolution
100%
Spatial Frequency
20%
super resolution
100%
Truecolor Image
20%