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- Newsgroups: comp.graphics
- Path: sparky!uunet!wupost!usc!venice!gumby.dsd.trw.com!deneva!news
- From: thomsen@spf.trw.com (Mark Thomsen)
- Subject: Re: Noise Reducing w/ Edge Enhancement
- Message-ID: <2A74457A.1F82@deneva.sdd.trw.com>
- Sender: news@deneva.sdd.trw.com
- Organization: TRW Inc., Redondo Beach, CA
- References: <1992Jul27.021555.24987@cs.brown.edu>
- Date: Mon, 27 Jul 92 18:50:33 GMT
- Lines: 27
-
- Jon Elion writes
- > Would be interested in from anyone who has experience with image
- > filtering techniques for noise reduction that simultaneously ENHANCE
- > edges. Normally, these two operations are mutually exclusive (as
- > noise reduction can tend to BLUR edges, not sharpen them). There
- > exist non-linear approaches that achieve this goal (although
- > tending to be computationally very intensive).
-
- For SAR speckle reduction the goal (in general) is to remove the
- "noise" that results from coherent illumination of surfaces "rough"
- at the illumination wavelength. Most techniques are either based on
- multiple looks (different angles or different frequencies), where
- the signal reinforces and the "noise" averages out, or on filters
- that effectively smooth the image (causing edges and point features
- to smooth/blur as well). The speckle tends to be complex Gaussian.
-
- An approach we found to work well is the Crimmins filter. It is
- morphological (and non-linear) and seems to be good for reducing the
- graininess while preserving high frequency features. The reference
- I know of is
-
- T.R. Crimmins, "Geometric Filter for Speckle Reduction", Applied
- Optics, Vol. 24, pp. 1438-1443, 1985.
-
- Best of luck,
-
- Mark R. Thomsen
-