Title: Implementation of the regularized structured total least squares algorithms for blind image deblurring
Authors: Mastronardi, Nicola ×
Lernmerling, P
Kalsi, A
O'Leary, DP
Van Huffel, Sabine #
Issue Date: Nov-2004
Publisher: Elsevier science inc
Series Title: Linear algebra and its applications vol:391 pages:203-221
Abstract: The structured total least squares (STLS) problem has been introduced to handle problems involving structured matrices corrupted by noise. Often the problem is ill-posed. Recently, regularization has been proposed in the STLS framework to solve ill-posed blind deconvolution problems encountered in image deblurring when both the image and the blurring function have uncertainty. The kernel of the regularized STLS (RSTLS) problem is a least squares problem involving Block-Toeplitz-Toeplitz-Block matrices.
ISSN: 0024-3795
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Numerical Analysis and Applied Mathematics Section
× corresponding author
# (joint) last author

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