Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!usc!samsung!uunet!aplcomm!aplcomm.jhuapl.edu
From: jeff@aplcomm.jhuapl.edu (JEFF NANIS )
Newsgroups: comp.dsp
Subject: Adaptive Filters for Image Processing
Keywords: 2D ARMA, RLS, Noise cancellation
Message-ID: <390@aplcomm.JHUAPL.EDU>
Date: 28 Mar 91 22:13:43 GMT
Sender: jeff@aplcomm.JHUAPL.EDU
Organization: JHU/APL, Laurel, MD
Lines: 9


 	I am trying to implement a two-dimensional adaptive filter (fast trans-
versal or lattice RLS for joint process estimation/noise cancellation) on gray 
scale imagery, preferably in IDL, but C or FORTRAN would do. All the image 
processing refs I have looked at deal with fixed filters (our images are 
decidedly non-stationary), whereas all the adaptive filter techniques I know of deal with 1D, generally auto-regressive (vice ARMA) estimators. 

	I have already posted to comp.graphics and comp.lang.idl with no 
results. Any suggestions, code, journal articles, books, etc?