Superresolution imaging - from equations to mobile applications

author: Filip Šroubek, Academy of Sciences of the Czech Republic
published: Jan. 23, 2012,   recorded: December 2011,   views: 7015


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In the last five years we have witnessed a rapid improvement of methods that perform image restoration, such as, denoising, deconvolution and superresolution. We will provide a brief mathematical background to superresolution as an optimization problem and summarize our contribution. Specifically, we will talk about robustness to misregistration, an extension to space-variant cases and a fast converging method of augmented Lagrangian suitable for constrained optimization problems. We will also give an overview of our past and ongoing commercial applications in which superresolution plays a key role.

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Comment1 Radmilka Skazzi, March 9, 2015 at 7:28 p.m.:

Trully love this guy! Very interesting, thanks a lot!

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