hi,

let me know how you go with the anscombe transform, that sounds
important. in principle we should run it before black point
subtraction, to be able to correctly extract the zero-mean values for
black. the current transform wouldn't work with such data, however.

cheers,
 jo

On Thu, Feb 21, 2019 at 8:49 AM rawfiner <rawfi...@gmail.com> wrote:
>
> Hi Andreas
>
> This is currently paused. I may come back to this in some time ;-)
> I have found various ways to improved denoising performance without requiring 
> this, that's why I have not worked on this since a few months.
>
> Basically, currently my priority is now to improve denoiseprofile.
> For instance, you may have noticed the coarse grain slider for non local 
> means in master.
> I have some other changes ongoing, you can test some of them on branch 
> rawfiner-denoise-profile-updates on my git 
> https://github.com/rawfiner/darktable/tree/rawfiner-denoise-profile-updates
> Basically I use it like this :
> - I put the patch size to 4
> - I increase the coarse grain noise slider until no very coarse chroma noise 
> remains (some fine grain chrominance noise can remain)
> - then I increase the details slider to my taste
> - I fix the remaining chroma noise with the equalizer
> Note that with these changes, I am mostly using only one instance of 
> denoiseprofile, without any particular blending mode.
> It works very well for medium and high iso, but is not perfect for very high 
> iso. In such case, it can be combined with denoise bilateral to get nice 
> results.
>
> I am also currently working on improving the anscombe transform which is 
> associated with the profile to get closer to our goal to have a variance of 1 
> everywhere (currently we have some big spike above 1 in the shadows, which is 
> a problem as shadows are usually what we want to denoise the most)
>
> Cheers,
> rawfiner
>
> Le jeu. 21 févr. 2019 à 08:03, Andreas Schneider <a...@cryptomilk.org> a 
> écrit :
>>
>> On Wednesday, 5 September 2018 21:34:21 CET rawfiner wrote:
>> > Hi!
>>
>> Hi rawfinder,
>>
>> > Some of you may now that I am working on a raw denoising algorithm.
>> > One of the hard thing was that prior to demosaic, the algorithms are
>> > computed on unscaled data, while after demosaic the algorithms can compute
>> > a preview on a downscaled image, which is easier in terms of speed.
>>
>> what happended to your work, any news?
>>
>>
>> Thanks,
>>
>>
>>         Andreas
>>
>>
>
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