Patent Document ID: 9396523
Application ID: 13949940

Base Claim:
1. A computer-implemented method of restoring an image comprising: receiving, at a processor, a poor quality image; applying the poor quality image to each of a plurality of trained machine learning predictors which are arranged in a cascade architecture, the cascade architecture comprising a plurality of layers connected in series, each layer comprising at least one of the trained machine learning predictors, each internal layer of the cascade architecture being trained using more training data examples than the first layer of the cascade architecture; obtaining from each of the trained machine learning predictors, a restored version of the poor quality image.

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Claim 3:
3. A method as claimed in claim 1 comprising displaying one or more of the restored versions of the poor quality image at an end user device and, in response to user input, stopping application of the poor quality image to at least some of the plurality of trained machine learning predictors.