#OpenCV

OpenCV Super Resolution

# Create super-resolution object.
obj = cv2.dnn_superres.DnnSuperResImpl_create()

# Path to the model.
obj.readModel(modelPath)

# Specify the method (one of "fsrcnn", "espcn", "lapsrn", "edsr") and scale.
obj.setModel(method, scale)

# Perform Upsampling
obj.upsample(image)

References

Deep Learning for Image Super-resolution: A Survey
1. FSRCNN (Accelerating the Super-Resolution Convolutional Neural Network) - released in ECCV 2016
2. ESPCN (Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network) - released in CVPR 2016
3. EDSR (Enhanced Deep Residual Networks for Single Image Super-Resolution) - released in CVPR 2017
4. LAPSRN (Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks) - released in CVPR 2017
5. FSRCNN
6. ESPCN
7. LapSRN
8. EDSR
Super Resolution