Improving Super-Resolution Reconstruction with Regularized Extreme Learning Machine Networks.
Daniel Luis CosmoThaís Pedruzzi do NascimentoEvandro Ottoni Teatini SallesPatrick Marques CiarelliPublished in: IJCNN (2018)
Keyphrases
- super resolution reconstruction
- extreme learning machine
- space time
- feedforward neural networks
- low resolution
- super resolution
- feed forward neural networks
- high resolution
- support vector regression
- gaussian processes
- single layer
- neural network
- multi frame
- high resolution images
- hidden nodes
- low resolution images
- image super resolution
- variable selection
- motion estimation
- optical flow
- spatio temporal
- high dimensional
- image processing