Abstract

An iterative Fourier-transform-based deconvolution method for resolution enhancement is presented. This method makes use of the a priori information that the data are real and positive. The method is robust in the presence of noise and is efficient especially for large data sets, since the fast Fourier transform can be employed.

© 2009 Optical Society of America

PDF Article

References

  • View by:
  • |
  • |
  • |

  1. Y. Biraud, “A new approach for increasing the resolving power by data processing,” Astron. Astrophys. 1, 124-127 (1969).
  2. P. A. Jansson, R. H. Hunt, and E. K. Plyler, “Resolution enhancement of spectra,” J. Opt. Soc. Am. 60, 596-599 (1970).
  3. B. R. Frieden, “Restoring with maximum likelihood and maximum entropy,” J. Opt. Soc. Am. 62, 511-517 (1972).
    [CrossRef]
  4. B. R. Frieden, and J. J. Burke, “Restoring with maximum entropy, II: superresolution of photographs of diffraction-blurred impulses,” J. Opt. Soc. Am. 62, 1202-1210 (1972).
  5. P. A. Jansson, Deconvolution of Images and Spectra (Academic, 1997).
  6. S. J. Howard, “Continuation of discrete Fourier spectra using a minimum-negativity constraint,” J. Opt. Soc. Am. 71, 819-824 (1981).
  7. P. J. Tadrous, BiaQIm image processing software, Version 21.01, 2008, URL http://www.bialith.com.
  8. S. J. Howard, “Method for continuing Fourier spectra given by the fast Fourier transform,” J. Opt. Soc. Am. 71, 95-98 (1981).

1981 (2)

1972 (2)

1970 (1)

1969 (1)

Y. Biraud, “A new approach for increasing the resolving power by data processing,” Astron. Astrophys. 1, 124-127 (1969).

Cited By

OSA participates in CrossRef's Cited-By Linking service. Citing articles from OSA journals and other participating publishers are listed here.

Alert me when this article is cited.


Metrics