Image Restoration by the Method of Convex Projections: Part 2-Applications and Numerical Results

IEEE Transactions on Medical Imaging

Volumn 1, Issue 2, 1982, Pages 95-101

  Sezan, M I ^a   Stark, H ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX PROJECTION METHOD; GERCHBERG-PAPOULIS ALGORITHM; IMAGE RESTORATION;

IMAGE PROCESSING;

EID: 0020191820     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.1982.4307556     Document Type: Article

References (11)

1. D. C. Youla and H. Webb, “Image restoration by the method of convex projections: Part 1-Theory,” this issue, pp. 81-94.
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4. H. Stark, D. Cahana, and H. Webb, “Restoration of arbitrary finite-energy optical objects from limited spatial and spectral information,” J. Opt. Soc. Amer., vol. 71, no. 6, pp. 635-642, 1981.
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6. D. C. Youla, “Generalized image restoration by the method of alternating projections,” IEEE Trans. Circuits Syst., vol. CAS-25, pp. 694-702, 1978.
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8. H. C. Andrews, Computer Techniques in Image Processing. New York: Academic, 1970.
9. M. I. Sezan and H. Stark, “An investigation of image restoration by projections onto convex sets,” Image Processing Lab., Rensselaer Polytechnic Inst., Rep. IPL-TR-031.
10. L. G. Gubin, B. T. Polyak, and E. V. Raik, “The method of projections for finding the common point of convex sets,” U.S.S.R. Comput. Math, and Math. Phys., vol. 7, no. 6, pp. 1-24, 1967.
11. A. Lent and H. Tuy, “An iterative method for the extrapolation of band limited functions,” J. Math. Anal. Appl., vol. 83, pp. 554-565, 1981.