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 <http://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 <http://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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