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@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@lists.runrev.com > Please visit this url to subscribe, unsubscribe and manage your subscription > preferences: > http://lists.runrev.com/mailman/listinfo/use-livecode _______________________________________________ use-livecode mailing list use-livecode@lists.runrev.com Please visit this url to subscribe, unsubscribe and manage your subscription preferences: http://lists.runrev.com/mailman/listinfo/use-livecode
