[OT] Blind Deconvolution Algorithm

Alejandro Tejada capellan2000 at gmail.com
Mon Nov 27 21:11:41 EST 2017

Hi Bob,

Bob Sneidar wrote:
> The first thing I noticed in the article was that the source image
> was artificially blurred, that is mathematically.
> I wonder how it would do with an analog optically blurred image,
> or one which was taken through a dirty lens?

The article uses artificially blurred examples, but
the gallery uses real world examples:

"We would be grateful if you share with us your examples -
it will allow us to improve the quality of the algorithms.
All images are real-world photos without any preliminary
processing. "


On Thu, Nov 23, 2017 at 12:26 PM, Alejandro Tejada <capellan2000 at gmail.com>
> Today I learned about this impressive image processing
> algorithm named Blind Deconvolution:
> Theory:
> http://yuzhikov.com/articles/BlurredImagesRestoration1.htm
> Practice:
> http://yuzhikov.com/articles/BlurredImagesRestoration2.htm
> Check the examples:
> (Text defocus blur is eye-opening. Look for the example
> named "Large Defocus blur")
> http://smartdeblur.net/gallery.html
> Now I have to find if Neural Networks could be trained
> for this task with better results. :-)
> Al

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