Comparisons of linear and nonlinear image restoration

Lan-Yun Chang, Angus I. Kirkland

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Exit wave restoration using focus series of images has become a widely used technique to improve image resolution and interpretation. To understand the effects of the imaging approximations used, we have critically compared the specimen exit wave functions restored using the efficient linear Wiener filter, with a general nonlinear maximum likelihood method.

Original languageEnglish (US)
Pages (from-to)469-475
Number of pages7
JournalMicroscopy and Microanalysis
Volume12
Issue number6
DOIs
StatePublished - Dec 1 2006
Externally publishedYes

Fingerprint

Image resolution
Wave functions
Image reconstruction
restoration
Maximum likelihood
Restoration
Imaging techniques
image resolution
wave functions
filters
approximation

Keywords

  • Exit wave reconstruction
  • High resolution transmission electron microscopy
  • Maximum likelihood method
  • Monte Carlo integration
  • Nonlinear imaging
  • Wiener filter

ASJC Scopus subject areas

  • Instrumentation

Cite this

Comparisons of linear and nonlinear image restoration. / Chang, Lan-Yun; Kirkland, Angus I.

In: Microscopy and Microanalysis, Vol. 12, No. 6, 01.12.2006, p. 469-475.

Research output: Contribution to journalArticle

Chang, Lan-Yun ; Kirkland, Angus I. / Comparisons of linear and nonlinear image restoration. In: Microscopy and Microanalysis. 2006 ; Vol. 12, No. 6. pp. 469-475.
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