Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-28T00:51:33.124Z Has data issue: false hasContentIssue false
  • English
  • Français

Iterative Blind Deconvolution Method with use of Lucy's Algorithm: Application to IR Speckle Data

Published online by Cambridge University Press:  19 July 2016

Fumiaki Tsumuraya ,
Noriaki Miura  and
Naoshi Baba
Fumiaki Tsumuraya
Affiliation:
The Graduate University for Advanced Studies, Faculty of Physics and Mathematics, Department of Astronomy, Mitaka, Tokyo 181, Japan
Noriaki Miura
Affiliation:
Hokkaido University, Faculty of Engineering, Department of Applied Physics, Sapporo 060, Japan
Naoshi Baba
Affiliation:
Hokkaido University, Faculty of Engineering, Department of Applied Physics, Sapporo 060, Japan

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Lucy's algorithm is applied to iterative blind deconvolution method. This new approach enables to reconstruct a greatly extended object from one speckle frame and to reinforce image domain constraints. A greatly extended object makes speckle images flow over detecting surface. Lucy's algorithm is accommodated to handle such an image and built into iterative blind deconvolution methods. Computer simulation and observational data analyses are conducted and the effectiveness of the proposed methods are exemplified.

Keywords

speckledeconvolutionimage reconstruction
Type
Imaging Theory
Information
Symposium - International Astronomical Union , Volume 158: Very High Angular Resolution Imaging , 1994 , pp. 205 - 208
Copyright
Copyright © Kluwer 1994 

References

Ayers, G.R. and Dainty, J.C.: 1988, Opt. Lett. 13, 547 Google Scholar
Davey, B.L.K., Lane, R.G., Bates, R.H.T.: 1989, Opt. Commun. 69, 353 CrossRefGoogle Scholar
Lucy, L.B.: 1974, Astron. J. 79, 745 Google Scholar
Tsumuraya, F., Miura, N., Baba, N.: 1992, submitted to Astron. Astrophys.,Google Scholar