A Comparison between Multi-Layer Perceptrons and Convolutional Neural Networks for Text Image Super-Resolution.
Clément PeyrardFranck MamaletChristophe GarciaPublished in: VISAPP (1) (2015)
Keyphrases
- image super resolution
- multi layer perceptron
- convolutional neural networks
- low resolution
- dictionary learning
- super resolution
- neural network
- artificial neural networks
- kernel regression
- image registration
- low resolution images
- high resolution
- neural network model
- map estimation
- edge preserving
- sparse representation
- radial basis function
- small number
- image features
- object recognition
- machine learning