An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model

1 Jun 2015Patrick HéasAngélique DrémeauCédric Herzet

In this work, we propose a novel procedure for video super-resolution, that is the recovery of a sequence of high-resolution images from its low-resolution counterpart. Our approach is based on a "sequential" model (i.e., each high-resolution frame is supposed to be a displaced version of the preceding one) and considers the use of sparsity-enforcing priors... (read more)

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