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Hello Charles,
I have had pretty good luck with Grain Surgery.
It is somewhat expensive, but is a little easier to use than other grain
reduction applications. There are some situations where artifacts can be
introduced, but most of the time it does a very good job at retaining the low
contrast detail and sharpness while significantly reducing grain. One intangible
benefit of using Grain Surgery is that since it is a plug-in for Photoshop, you
can use it with the other features of Photoshop - Including performing
grain reduction on selected parts of the image using the magic wand tool
etc.
I did a comparison of various products and techniques a
while ago:
To be fair, I have not updated this page with a
comparison to the latest release of SGBNR in PixInsight LE. SGBNR is very good,
but it seems to blur the image a little more than Grain Surgery. It has the
advantage however, of not introducing artifacts.
Just my .02
~ Jay E. Potts http://www.whirlpoolgalaxy.com (Astrophotography) http://www.americanfocus.com (Landscapes & Wildlife) From: astro-photo-bounces@seds.org [mailto:astro-photo-bounces@seds.org] On Behalf Of Charles Shahar Sent: Friday, November 05, 2004 6:37 AM To: astro-photo@seds.org Subject: [APML] Image Processing Question: Gaussian Blur vs Unsharp Masking Hi Everyone:
I have an image processing question: I am getting
quite adept at pulling out faint nebulosity using the curves and levels tools in
Photoshop. The problem, of course, is that these faint wisps of nebulosity often
have a "grainy" appearance to them. Since I intend to print these images, and
not wanting to over-emphasize the grain, I am often caught in a quandary over
just how far to go when pulling out these faint details.
So I am using the Gaussian Blur tool to mask the
grain a bit. More specifically, I am using the Adaptive Filter function in Iris,
an image processing program. This tool has a similar effect, in that it blurs
the object and masks the grain. But now I am bothered by slightly blurry images.
So I have tried to use unsharp masking to compensate. But this solution is only
half-successful, because the image starts to get grainy again.
Does anyone have any solutions for this problem, or
should I just settle for the best balance between grain and blur? Thanks for
your insights,
-Charles
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