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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 17, Iss. 21 — Nov. 1, 1978
  • pp: 3384–3390

Comparison of image restoration methods

T. M. Cannon, H. J. Trussell, and B. R. Hunt  »View Author Affiliations


Applied Optics, Vol. 17, Issue 21, pp. 3384-3390 (1978)
http://dx.doi.org/10.1364/AO.17.003384


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Abstract

Three image restoration methods are compared in a variety of blur and noise conditions. Both numerical and subjective data are evaluated. It is demonstrated that, in certain conditions, one restoration method is preferable to others.

© 1978 Optical Society of America

History
Original Manuscript: April 10, 1978
Published: November 1, 1978

Citation
T. M. Cannon, H. J. Trussell, and B. R. Hunt, "Comparison of image restoration methods," Appl. Opt. 17, 3384-3390 (1978)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-17-21-3384


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References

  1. B. R. Hunt, Proc. IEEE 63, 693 (1975). [CrossRef]
  2. M. Cannon, IEEE Trans. Acoust. Speech Signal Proc. ASP-24, 58 (1976). [CrossRef]
  3. B. R. Hunt, IEEE Trans. Comput. COM-26, 219 (1977). [CrossRef]
  4. T. S. Huang, “Some Notes on Film Grain Noise,” NASA Summer Study on Atmospheric Degradations, Woods Hole, Mass (1968), Appendix, p. 14.
  5. P. D. Welch, IEEE Trans. Audio Electroacoust. AE-15, 70 (1967). [CrossRef]
  6. H. J. Trussell, “Improved Methods of Maximum A Posteriori Image Restoration,” Los Alamos Scientific Laboratory Report LA-6516-T (October1976).
  7. B. R. Hunt, T. M. Cannon, IEEE Trans. Systems, Man. Cybern. SMC-6, 876 (1976).
  8. T. Woodlief, Ed., SPSE Handbook of Photographic Science and Engineering (Wiley, New York, 1973).
  9. H. W. Walker, J. Lev, Statistical Inference (Holt, Rinehart and Winston, New York, 1953). [CrossRef]

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