Image super-resolution based on convolution neural networks using multi-channel input.
Gwang-Young YoumSung-Ho BaeMunchurl KimPublished in: IVMSP (2016)
Keyphrases
- multi channel
- image super resolution
- neural network
- dictionary learning
- low resolution
- super resolution
- single channel
- image patches
- image processing
- sparse representation
- high resolution
- image registration
- edge preserving
- high resolution images
- maximum a posteriori
- markov random field
- map estimation
- pattern recognition
- image classification
- low resolution images
- kernel regression
- image analysis