Are there any actual use-cases for this algorithm, specifically in darktable?

I'd imagine 95+% of blurred images/images with motion blur
where that is not intentional, would be deleted and not processed..

Roman.

On Thu, Apr 27, 2017 at 1:06 PM, Aurélien PIERRE
<rese...@aurelienpierre.com> wrote:
> Sorry for the spam, but I have found a 2015 article which adresses some of
> the limits of the previous ones (with Matlab code) :
> http://www.cvg.unibe.ch/dperrone/logtv/index.html
>
> Aurélien PIERRE
> aurelienpierre.com
>
> ________________________________
>
> Le 2017-04-27 à 05:05, Aurélien PIERRE a écrit :
>
> I have found some other implementations of blind deconvolution which seem
> lighter. A Matlab example here :
> http://cs.nyu.edu/~dilip/research/blind-deconvolution/.
>
> Aurélien PIERRE
> aurelienpierre.com
>
> ________________________________
> Le 2017-04-27 à 04:50, Heiko Bauke a écrit :
>
> Hi,
>
> Am 27.04.2017 um 10:27 schrieb Aurélien PIERRE:
>
> I found a software (http://relaunch.piccureplus.com/) which goal is to
> apply adaptative deconvolution to pictures in order to remove blur and
> noise. The result is quite amazing, without halos.
>
> [...]
>
> looks very interesting.
>
> [...]
>
> I know
> some of the developpers here are PhD in physics and maths, maybe they
> could take a look.
>
>
> I just had a very quick look at the research paper.  This filter probably
> demands rather high computational resources, it needs to compute discrete
> Fourier transforms and to solve sparse linear systems. It might be too slow
> for a darktable-work flow.  I will test this filter soon.
>
>
>     Heiko
>
>
>
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