May I suggest an experiment ?

1. Take a RAW file and convert it -- so that the whole DR is included
-- into a single TIF . ( In order to get the whole DR into the TIF,
you will have to flatten the global contrast. )

2. From this TIF, manually create a +2EV TIF and a -2EV TIF, so you
now have a set of 3 TIFs. ( This step - as I understand it - is what
you want Hugin/Enfuse to do internally ).

3. Run the 3 TIFs through Enfuse and eyeball the results.

My guess is you will be disappointed by the results, due to the
unavoidable loss of contrast and saturation in step 1.

:-J

On Mar 22, 9:15 am, Alexander Rabtchevich
<alexander.v.rabtchev...@gmail.com> wrote:
> Kay is right. It's all about dynamic range compression, which is made
> at tonemapping, not about flat tiffs.
>
> Our vision changes sensitivity within a scene so the shadows and
> midtones are perceived bright enough even for a scene with high
> dynamic range. That's not true for a linear camera sensor even after
> application of global camera non-linear tonal curve.
> If there is a highlight area within a frame like a sky or sun
> reflections the difference in luminance between highlights and shadows
> becomes 2 stops (4 times) and more. Application of global non-linear
> tonal curve to increase luminance of shadows and midtones leads to
> visual compression of highlights and often ruins skintones. The only
> good solution is a masked approach.
>
> When enfuse takes two tiffs (or even jpgs) from one RAW with normally
> exposed highlights (and dark shadows and midtones) and normally
> exposed shadows and midtones, but overexposed highlights, it produces
> naturally looking image with good highlights, shadows and midtones. Of
> cause, it can require some adjustment in weight settings or exposure
> compensation of initial images, but the result can look very much
> similar to the picture one saw when he was taking the snapshot. I can
> provide the original RAW, intermediate and  resulting tiffs to prove
> the concept.
>
> With respect,
> Alexander Rabtchevich

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