Image restoration by convex projections in the presence of noise
Applied Optics, Vol. 22, Issue 18, pp. 2781-2789 (1983)
http://dx.doi.org/10.1364/AO.22.002781
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Abstract
In this paper we investigate how the method of convex projections for image restoration behaves in the presence of noise. We also introduce and test a new noise-smoothing procedure in which the restored image is forced to lie within a certain L2 distance of the noisy data. We show that, in the presence of noise, restoration by convex projections is superior to the Gerchberg-Papoulis method.
© 1983 Optical Society of America
Citation
M. I. Sezan and Henry Stark, "Image restoration by convex projections in the presence of noise," Appl. Opt. 22, 2781-2789 (1983)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-22-18-2781
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