[Date Prev][Date Next] [Thread Prev][Thread Next] [Date Index] [Thread Index]

Bug#414420: ITP: refocus-it -- refocus images using Hopfield neural networks



Package: wnpp
Severity: wishlist
Owner: Bernd Zeimetz <bernd@bzed.de>

* Package name    : refocus-it
  Version         : 2.0.0
  Upstream Author : Lukas Kunc <Lukas.Kunc@seznam.cz>
* URL             : http://refocus-it.sourceforge.net/
* License         : GPL2
  Programming Lang: C
  Description     : refocus images using Hopfield neural networks

Package: gimp-refocus-it
Description: Plugin for The GIMP to refocus images using Hopfield neural
networks
 The Refocus-it plugin for The GIMP can be used to refocus images
 acquired by a defocused camera, blurred by gaussian or motion
 blur or any combination of these.
 There are a few nice features of this plug-in, especially adaptive /
 static area smoothing used to remove the so called "ringing" effect,
 introduced by edges in the image, and effects introduced by noise.
 Mirror and periodical boundary conditions are available. Preview
 helps you select the best parameters.
 .
 There are a few NOT nice features of this plug-in as well, namely
 its memory and CPU requirements.
 .
 The algorithm is based on finding the minimum of the error function
 using Hopfield neural network.

Package: refocus-it-bin
Description: Command line version of The GIMP's refocus-it plugin
 This is the command line version of the refocus-it plugin for
 The GIMP. It can be used to refocus images acquired by a
 defocused camera, blurred by gaussian or motion blur or any
 combination of these.
 There are a few nice features, especially adaptive/static area
 smoothing used to remove the so called "ringing" effect,
 introduced by edges in the image, and effects introduced by noise.
 Mirror and periodical boundary conditions are available.
 .
 There are a few NOT nice features as well, namely memory and CPU
 requirements.
 .
 The algorithm is based on finding the minimum of the error function
 using Hopfield neural network



Reply to: