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Restoration from partially-known blur using an expectation-maximization algorithm

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3 Author(s)
Mesarovic, V.Z. ; Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA ; Galatsanos, N.P. ; Wernick, M.N.

In this paper we address the problem of image restoration when the point-spread function (PSF) of the imaging process is not known exactly, a situation which arises regularly in practice. The algorithm based on the expectation-maximization (EM) algorithm is proposed which has the capability to identify the unknown statistics of the image and the image-dependent noise while restoring the image. The convergence properties of the resulting estimators are examined.

Published in:

Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on  (Volume:1 )

Date of Conference:

3-6 Nov. 1996