Affine Scaling Methods for Image Deblurring Problems
Refereed conference paper presented and published in conference proceedings


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AbstractBlur in images can be removed by solving a series of box-constrained linear least-squares problems. In this paper, we compare two recent approaches for solving these problems using affine-scaling methods. Both approaches aim at solving a nonlinear system arising from the Karush-Kuhn-Tucker condition. One approach is to identify the active set and update the inactive components of the iterates by using a Newton-like method. The other is to iteratively solve the nonlinear system entry-wise by a Quasi-Newton method.
All Author(s) ListChan RH, Morini B, Porcelli M
Name of ConferenceInternational Conference on Numerical Analysis and Applied Mathematics
Start Date of Conference19/09/2010
End Date of Conference25/09/2010
Place of ConferenceRhodes
Country/Region of ConferenceGreece
Journal nameAIP Conference Proceedings
Year2010
Month1
Day1
Volume Number1281
PublisherAIP Publishing
Pages1043 - 1046
ISBN978-0-7354-0834-0
ISSN0094-243X
LanguagesEnglish-United Kingdom
KeywordsAffine Scaling; Barzilai-Borwein methods; Image Restoration; Newton methods
Web of Science Subject CategoriesEngineering; Engineering, Multidisciplinary; Mathematics; Mathematics, Applied; Physics; Physics, Applied; Physics, Mathematical; Physics, Multidisciplinary

Last updated on 2020-14-09 at 00:57