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Affine Scaling Methods for Image Deblurring Problems

  • Raymond H. Chan
  • , Benedetta Morini
  • , Margherita Porcelli

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Blur 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.
Original languageEnglish
Pages (from-to)1043-1046
JournalAIP Conference Proceedings
Volume1281
DOIs
Publication statusPublished - Sept 2010
Externally publishedYes
EventInternational Conference on Numerical Analysis and Applied Mathematics 2010 (ICNAAM 2010) - Rhodes, Greece
Duration: 19 Sept 2010 → 25 Sept 2010

Research Keywords

  • Affine Scaling
  • Barzilai-Borwein methods
  • Image Restoration
  • Newton methods

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