Hi Johannes
For now, I am working on denoise profile's anscombe transform, not one for
rawdenoise (this may come later). Sorry if that was unclear.
Basically, I'd like to have a variance closer to 1 for shadows.
The basic idea I have is to use a linear approximation of the sqrt for
shadows, while
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,
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
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
nice! an interesting lot of work indeed :)
the results look really promising. doesn't seem to do much on the sky,
but the wood is cleaned up nicely. some colour noise seems to stick
around at the edges, which is expected with nlm.
yeah multi-scale is hard and costly with nlm. one of the reasons
hi,
Le lun. 10 sept. 2018 à 14:47, johannes hanika a écrit :
> hi!
>
> nice, your downscaled images look impeccable :) maybe they jump up or
> down by one pixel or so?
>
I think this is partly due to rounding errors as we multiply a width by a
float factor to find the new width.
Also, as we
hi!
nice, your downscaled images look impeccable :) maybe they jump up or
down by one pixel or so?
do you have any example result images for the denoising already? are
you running before or after black point subtraction? if you can, i
think you should run before.
exciting stuff :)
cheers,
jo
Hi!
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.
So I tried to
