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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.