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Problem statement:

We use a convolutional neural network to estimate the blur kernel of an input image.
Unlike conventional methods, this allows us to perform blind deblurring (see diagram below)

Top: traditional deblurring methods. Bottom: our approach

Learning task

The task is formulated as a supervised learning task. For now, we are exploring both classification and regression to infer the blur kernel.
One interesting feature of our problem formulation is that it allows for cheap access to data.

Forward problem

... Coming...