comp.lang.idl-pvwave archive
Messages from Usenet group comp.lang.idl-pvwave, compiled by Paulo Penteado

Home » Public Forums » archive » Wiener deconvolution, anyone?
Show: Today's Messages :: Show Polls :: Message Navigator
E-mail to friend 
Switch to threaded view of this topic Create a new topic Submit Reply
Wiener deconvolution, anyone? [message #18288] Thu, 16 December 1999 00:00 Go to next message
Richard G. French is currently offline  Richard G. French
Messages: 65
Registered: June 1997
Member
Hi, gang -
I am looking for a 2-D deconvolution routine that
uses a Wiener filter. The specific application is to sharpen up
some Hubble Space Telescope images of Saturn's rings. I have a
reasonable handle on the Point Spread Function (the response to a point
source). I've tried using FFT's and the deconvolution theorem,
and I've tried doing lots of filtering of the input and output, but
it has not been very satisfactory. I've heard good things about
Wiener deconvolution but I have not seen a reference that deals with it
in two dimensions.
Any of you folks out there in the oil business have any suggestions? I
know that is one place where this is done!
Thanks for any suggestions!
Dick French
Astronomy Dept
Wellesley College
rfrench@wellesley.edu
Re: Wiener deconvolution, anyone? [message #18353 is a reply to message #18288] Mon, 20 December 1999 00:00 Go to previous message
badastro is currently offline  badastro
Messages: 7
Registered: August 1998
Junior Member
In comp.lang.idl-pvwave Richard G. French <rfrench@wellesley.edu> wrote:
> Hi, gang -
> I am looking for a 2-D deconvolution routine that
> uses a Wiener filter. The specific application is to sharpen up
> some Hubble Space Telescope images of Saturn's rings. I have a
> reasonable handle on the Point Spread Function (the response to a point
> source). I've tried using FFT's and the deconvolution theorem,
> and I've tried doing lots of filtering of the input and output, but
> it has not been very satisfactory. I've heard good things about
> Wiener deconvolution but I have not seen a reference that deals with it
> in two dimensions.

I hate to mention it here on this group, but I believe there
is an IRAF package that does this. Do you have this loaded up
at Wellesley? It might be an SDAS package, which you can get from the
Space Telescope Science Institute (www.stsci.edu).



* * * * * The Bad Astronomer * * * *

Phil Plait badastro@badastronomy.com
The Bad Astronomy Web Page: http://www.badastronomy.com
Re: Wiener deconvolution, anyone? [message #18366 is a reply to message #18288] Sat, 18 December 1999 00:00 Go to previous message
htonishi is currently offline  htonishi
Messages: 7
Registered: September 1999
Junior Member
Dick,

Hmmm, I just tried to connect and was refused. It looks like they
removed public access. Sorry about that. Here is another link that I
just checked. It contains a nice one page description of the 2D Wiener
filter. No code, just equations. It appears to be part of a master's
thesis.

http://www.cs.indiana.edu/l/www/hyplan/tveldhui/papers/MAScT hesis/node15.html

Howard


* Sent from RemarQ http://www.remarq.com The Internet's Discussion Network *
The fastest and easiest way to search and participate in Usenet - Free!
Re: Wiener deconvolution, anyone? [message #18374 is a reply to message #18288] Fri, 17 December 1999 00:00 Go to previous message
Richard G. French is currently offline  Richard G. French
Messages: 65
Registered: June 1997
Member
htonishi wrote:
>
> This is not exactly what you're asking for but you might find something
> useful here
>
> http://www.numis.nwu.edu/ftp/pub/restorations/
>
> I've used their max_entropy code with some success.
>
> Howard Onishi
>
THanks, Howard - I can't seem to get through on this site, but I will
keep trying!
Dick
  Switch to threaded view of this topic Create a new topic Submit Reply
Previous Topic: registration
Next Topic: Large animations under NT

-=] Back to Top [=-
[ Syndicate this forum (XML) ] [ RSS ] [ PDF ]

Current Time: Wed Oct 08 20:01:15 PDT 2025

Total time taken to generate the page: 0.05669 seconds