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Making Neat Image work better

John Navas
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Neat Image (with which I have no connection other than as a happy
customer) is excellent software for reducing noise in images without
sacrificing detail. It works so well it's almost magical. For info, go
to <>.

Part of what makes Neat Image so effective is that it can automatically
select and use stored noise profiles that are specifically tailored for
a given camera and mode (ISO, image format, etc.). While Neat Image can
be used successfully with the noise profiles available for download, for
best results you should make your own profiles tailored to your own
camera using the supplied Calibration Target (as described in Help).

The problem is that the Batch Profiler may not do a terribly good of
selecting the best area to analyze in a calibration image, resulting in
low Profile quality. In general, you want Profile quality of at least
75%, whereas my first effort resulted in Profiles with quality as low as

The solution is to first run the Batch Profiler (as described in Help),
save those profiles to your Profile library, and then process those same
calibration images again manually to improve the quality of your

To do that, open a calibration image in the Filtration Job Editor (of
Neat Image), click the Device Noise Profile tab, and then the Auto
Profile button. After the first profiling run, drag the analysis frame
to a different part of the image and Auto Profile again. (Best areas are
generally of medium brightness.) If you get a red warning message, try a
different area. If you get a higher Profile Quality value (down on the
Status Bar at the bottom of the window), then save the Profile (with the
diskette button in the upper right hand corner). When you can't get a
higher value, you're done with that calibration image and Profile, and
can go on to the next one.

By following this procedure, all of my Profiles now have a quality of
95-96%, and my results with Neat Image are noticeably better.

Best regards,
John Navas <http:/>
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The Spider from Little Miss Muffet
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Just remember and this applies to all noise reduction programs. This is
noise REDUCTION not noise REMOVAL. If you try to remove all of the noise you
will not be happy. But, you can easily reduce the noise a good 50 to 85%
(depending on the image and noise profile).

The Spider

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