On Wed, Apr 27, 2016 at 10:59 AM, J. Liles <malnour...@gmail.com> wrote:

>
>
> On Wed, Apr 27, 2016 at 10:13 AM, Ingo Liebhardt <ingo.liebha...@ziggo.nl>
> wrote:
>
>> Hi,
>>
>> In the original message, the 'and have had little trouble generating
>> images that contain areas prone to demosaicing artifacts‘ caught my eye.
>> In the meanwhile, I continued a bit on my demosaicing algorithm.
>>
>> So I gave it a try with the two problematic images.
>> Results can be found in:
>> https://www.dropbox.com/sh/un1y11uimbqxjjk/AAD3L-Rs9-ztwyBIm4rnCzK-a?dl=0
>>
>> The tiff versions are straight from the algorithm, no correct white
>> balance, no proper contrast curve, no noise reduction.
>> The jpeg versions got a bit of white balance and contrast curve in
>> darktable, but still no noise reduction.
>> Please excuse the colors, my main interest was on the demosaicing, so I
>> was very sloppy on the colors at this stage.
>> The tiffs are 16 bit, so you can really play with them to your liking.
>>
>> Furthermore, I also continued working on a better chroma cleaning
>> algorithm for the fine branches of my own torture test.
>> Have a look at the chroma_cleaned_3. I found a way to very specifically
>> address those problematic pixels, see map2, which I then further improved
>> by adding a contrast curve to the map.
>>
>> The bird and person images didn’t get the chroma cleaning, because they
>> don’t have fine high contrast areas, unlike the branches.
>>
>> Jo might be most interested in this, so the concept is in my latest git
>> commit : https://github.com/ILiebhardt/xtrans.
>> It’s not yet really stable and not to speak of performance…
>>
>> By the way, I also added my problematic raw, so that Jo can play with it
>> if wanted.
>>
>> I’m working on the performance now.
>>
>> Cheers,
>> Ingo
>>
>>
> Your algorithm is also showing a grid of dots in the feathers. Can you see
> what I'm referring to? You'll have to zoom way in to see it (playing with
> the contrast may help). The camera JPGs don't exhibit this at all (well, I
> could see *one* spot in the camera JPG). So I think whatever Fuji's doing
> in-camera is designed to mitigate this particular artifact.
>
>
Replying to myself: Actually, it could of course just be that the minimum
NR/JPG compression in the camera is masking the artifacts.

I suppose it's all about expectations.

When I shoot RAW Bayer images at ISO 100-400, I usually don't apply any NR.
Between 400 and 1000 or so I might add just some chroma NR. From there up
I'd probably add luma too.

My expectation is that I can work the same way with X-Trans images, which
may or may not be reasonable.


>
>
>>
>> Am 27.04.2016 um 18:16 schrieb J. Liles <malnour...@gmail.com>:
>>
>>
>>
>> On Wed, Apr 27, 2016 at 6:56 AM, johannes hanika <hana...@gmail.com>
>> wrote:
>>
>>> my 2min-version of the 2nd image:
>>>
>>> https://jo.dreggn.org/neon.jpg
>>>
>>> the neon lights are indeed something that doesn't seem to be covered
>>> well at all by the reference it8 chart. we probably need to somehow
>>> extend the darktable-lut module to read not only well defined colour
>>> patches but also random images (as the basecurve tool does). but even
>>> then it would just be cloning the jpg engine.. which is sub-optimal
>>> imo. i get much improved results when switching on gamut clipping in
>>> the input colour profile module (see xmp embedded in the jpg). i
>>> suspect the camera manufacturers do similar things on chip.
>>>
>>> -jo
>>>
>>>
>> Looks pretty close. I'd say in the case of Fuji an ability to extract a
>> profile from sampling many RAWs+JPGs would probably produce a pretty good
>> result. The colors in the camera jpeg were fairly true to life in this
>> case, except a bit desaturated (they were shot using Provia/STD, I've since
>> learned that many people believe Fuji mixed up the Provia and Astia
>> simulations because Provia seems to have lower saturation than Astia). But
>> as far as the hue goes, it's pretty spot on. Those purple neon lights can
>> very easily turn blue. I too have found that enabling gamut clipping helps
>> with that.
>>
>>
>>
>>
>>
>>>
>>> On Tue, Apr 26, 2016 at 10:21 PM, J. Liles <malnour...@gmail.com> wrote:
>>> > Here are some of my problem images.
>>> >
>>> > http://www.nevermindhim.com/fuji-xtrans-samples
>>> >
>>> > Also included on the page is my style for denoising.
>>> >
>>> >
>>> > On Tue, Apr 26, 2016 at 11:04 AM, J. Liles <malnour...@gmail.com>
>>> wrote:
>>> >>
>>> >> Group,
>>> >>
>>> >> I've recently acquired a camera with an X-Trans sensor, and have had
>>> >> little trouble generating images that contain areas prone to
>>> demosaicing
>>> >> artifacts.
>>> >>
>>> >> Is anyone interested in these? If so, is there a certain place I
>>> should
>>> >> host/send them? I have camera generated JPG for comparison along with
>>> the
>>> >> RAF files.
>>> >>
>>> >> In playing around I've discovered a few things:
>>> >>
>>> >> 1) Color smoothing is mandatory, as fine lines and especially specular
>>> >> highlights will always generate nasty color artifacts when using the
>>> baisc
>>> >> demosaicing. Seems like a smarter highlight recovery algorithm could
>>> help
>>> >> identify many of these problem spots.
>>> >>
>>> >> 2) None of the 'denoise' modules have sufficient parameter ranges to
>>> deal
>>> >> well with the X-Trans files.
>>> >>
>>> >> 3) When sufficient denoising is performed to remove maze and color
>>> >> artifacts, the difference between VNG and Markesteijn demosaicing is
>>> >> indiscernible.
>>> >>
>>> >> I have a style preset which can produce images that match the camera
>>> JPGs
>>> >> as far as noise/detail goes (utilizing the equalizer module) at ISO
>>> 3200.
>>> >>
>>> >> Color is another matter, but I've ordered one of the Wolf Faust IT8
>>> charts
>>> >> to try and make an ICC profile.
>>> >>
>>> >> (I tried making one using the imaging-resource.com multi target
>>> studio
>>> >> shots, and while the results were OK, they weren't great).
>>> >>
>>> >> P.S. Is there any plan to support Fuji's RawExposureBias exif tag? It
>>> is
>>> >> necessary to display high ISO RAF images at the correct brightnesss.
>>> >
>>> >
>>> >
>>> >
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>>
>>
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>

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