Документ взят из кэша поисковой машины. Адрес оригинального документа : http://www.stsci.edu/stsci/meetings/irw/proceedings/bundschuhb.dir/bundschuhb.html
Дата изменения: Fri Jun 3 00:01:19 1994
Дата индексирования: Sun Dec 23 20:39:17 2007
Кодировка:
Поисковые слова: р р ререс р р р р рер

Adaptive Least Squares Image Restoration Using Whitening Filters of Short Length

Next: Introduction

Adaptive Least Squares Image Restoration Using Whitening Filters of Short Length

B. Bundschuh and D. Schneider

Institut für Nachrichtenverarbeitung, Universität Siegen, D-57068 Siegen, Germany

H. Schulz

Radioastronomisches Institut, Universität Bonn, D-53113 Bonn, Germany, and Astronomisches Institut der Ruhr-Universität Bochum, D-44780 Bochum, Germany

Abstract:

This paper presents a regularized least squares algorithm for the restoration and reconstruction of images. A whitening filter of short length provides the regularization function. An adaptive version of the algorithm is developed by matching a weighting function to the regularization function. The adaptive regularization simultaneously leads to proper noise suppression and enhanced resolution of discontinuities.

rlw@
Thu Jun 2 15:47:14 EDT 1994