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

Pattern Recognition, pp. 1071692020.

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Abstract:

•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.

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