Wiener filtering and cleaning in a general image processing context

Details Wiener filtering and cleaning in a general image processing context Wiener filtering and cleaning in a general image processing context

Nov 1984

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1984mnras.211....1b&link_type=abstract

Monthly Notices of the Royal Astronomical Society (ISSN 0035-8711), vol. 211, Nov. 1, 1984, p. 1-14. Research supported by the M

Astronomy and Astrophysics

Astronomy

1

Astronomy, Image Processing, Wiener Filtering, Algorithms, Astronomical Maps, Efficiency, Fourier Transformation, Image Reconstruction

Scientific paper

The algorithm CLEAN is known to be effective for removing sidelobes from an image of Fourier transformed incomplete data when the true image consists of isolated point sources. It is shown here that Cornwell's recent modification of CLEAN is closely related to another result (established in this paper): by cleaning with a dirty beam that has been modified in accord with the Wiener approach to deconvolution, clean maps are obtained equivalent to those produced by the conventional two stage procedure of cleaning followed by reconvolving with a clean beam. It is argued both that the standard theory of the Wiener filter is inappropriate in most image processing contexts and that the filter's operation should be interpreted more straightforwardly.

Affiliated with

Also associated with

No associations

Rating

Wiener filtering and cleaning in a general image processing context does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Wiener filtering and cleaning in a general image processing context, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Wiener filtering and cleaning in a general image processing context will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1755374