I'm glad this is stimulating discussion. This is the kind of thing I enjoy 
reading here (especially when somebody can explain things they know.)

Anyway, I'd like to figure out some things about sigmoidal contrast. Is a 
"sigmoidal contrast" simply an approach to setting the contrast curve we 
all know from photography and digital imaging? In other words, is it a 
subset of  possible contrast curves that could be uses which follow a 
sigmoidal shape as described in the formula?
>From what I can understand, this means it is a typical contrast curve but:
• with the endpoints locked down at blackest black and and whitest white
• with a single inflection point somewhere in the middle
• and a sigmoidal (s) shape  between perfectly straight and infinitely 
steep (essentially a step function)
• presumably this function always has a positive slope and the 's' shape is 
never inverted into a backward 's' shape.
Are my assumptions correct?



On Wednesday, December 19, 2012 5:09:02 PM UTC-6, Bruno Postle wrote:
>
> On Wed 19-Dec-2012 at 12:13 +0100, Frederic Da Vitoria wrote: 
> > 
> > But now that I think of it more closely, I understand that 
> > JohnPW's question is still unanswered and that my answers 
> > completely missed the point. I expect the faux-bracketing to keep 
> > the lightest parts of the darkest exposure and the darkest parts 
> > of the lightest exposure. 
>
> I'm not entirely sure what you are trying to do, but Hugin will 
> extract 'bracketed' exposures from any photo.  By default it uses a 
> 'sigmoidal' camera response curve to map the data to linear space, 
> multiply and then map back again - This curve will be quite accurate 
> if you have calibrated your camera photometric parameters. 
>
> All you have to do is load your photo and increment Eev for the 
> input or output. 
>
> You can then enfuse these brackets, but this process only really 
> makes sense if you start with 16bit per channel data created from 
> RAW. 
>
> -- 
> Bruno 
>

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