A Review of Convolutional Neural Networks for Inverse Problems in Imaging.
Michael T. McCannKyong Hwan JinMichael UnserPublished in: CoRR (2017)
Keyphrases
- inverse problems
- convolutional neural networks
- image reconstruction
- global optimization
- convex optimization
- convolutional network
- emission tomography
- optimization methods
- image processing
- optimization problems
- image analysis
- high resolution
- partial differential equations
- early vision
- computer vision
- optical imaging
- computationally expensive
- graph cuts
- parameter space
- mutual information
- smoothness constraint
- high quality