[OT] Blind Deconvolution Algorithm
Bob Sneidar
bobsneidar at iotecdigital.com
Mon Nov 27 18:25:12 EST 2017
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 lense?
Bob S
> On Nov 23, 2017, at 09:26 , Alejandro Tejada via use-livecode <use-livecode at lists.runrev.com> wrote:
>
> 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
> _______________________________________________
> use-livecode mailing list
> use-livecode at lists.runrev.com
> Please visit this url to subscribe, unsubscribe and manage your subscription preferences:
> http://lists.runrev.com/mailman/listinfo/use-livecode
More information about the use-livecode
mailing list