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Applied Optics

Applied 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)

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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

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

T. M. Cannon, H. J. Trussell, and B. R. Hunt, "Comparison of image restoration methods," Appl. Opt. 17, 3384-3390 (1978)

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  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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