Blind single image super-resolution with a mixture of deep networks.

•A new approach for blind image super-resolution via mixture of deep networks.•An encoder network to model the blur kernel with a discrete latent variable.•A pre-training method to properly initialize the encoder network.•A lower bound of the likelihood function for joint training the whole model.