I scan by LS-40.
Since NI evaluation and purchase I found one a little bit more
effective for grain smoothing then the GEM. Slightly smoother
performance and a touch less impact on sharpness.
However, if detail sharpness is critical, it may still have certain
impact on one. I figured for my uses NI is most appropriate for
portraiture to smooth out less then perfect skin appearance and
smoothign the grain in the background (especially when it is a single
toned area such as sky). Certainly, there is a small impact to
sharpness if you would examine very closely, but very bearable for
portraiture and
easily compensated by a touch of USM.
It takes time or processing and 100% of CPU resources, not the speed
king (having said that I have yet upgraded to a newest version), but
when needed producec stunning results (especially for women's eyes :-)
).
Regards, Alex
--- Julian Vrieslander <julianv@mindspring.com> wrote:
> Since there is now a Mac version of the Neat Image plugin, I have
> been
> looking at their product info page
>
> <>
>
> They don't provide a noise profile for the Nikon film scanners. I
> would be
> interested in reading comments from any Wintel users who have tried
> Neat
> Image with an LS-4000 or other Nikon scanners. Are the results
> better than
> what can be achieved with the noise/grain reduction tools in VueScan
> and
> Photoshop CS?
>
> --
> Julian Vrieslander <julianv@mindspring.com>
>
>
>
----------------------------------------------------------------------------------------
> Unsubscribe by mail to listserver@halftone.co.uk, with 'unsubscribe
> filmscanners'
> or 'unsubscribe filmscanners_digest' (as appropriate) in the message
> title or body
>
__________________________________
Do you Yahoo!?
Check out the new Yahoo! Front Page.
www.yahoo.com
----------------------------------------------------------------------------------------
Unsubscribe by mail to listserver@halftone.co.uk, with 'unsubscribe
filmscanners'
or 'unsubscribe filmscanners_digest' (as appropriate) in the message title or
body
