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Constrained regularized image restoration using projection on a set of regularized solutions

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2 Author(s)
A. M. Taratorin ; Dept. of Biomed. Eng., Technion-Israel Inst. of Technol., Haifa, Israel ; S. Sideman

This article addresses a problem of constrained regularized image restoration. A consistent approach to the solution of this problem is based on minimizing the Tikhonov's (1977) regularizing functional subject to a set of constraints. It is demonstrated that a set of regularized solutions resulting from minimization of Tikhonov's functional is closed and convex and a projection operator on this set is derived

Published in:

IEEE Transactions on Signal Processing  (Volume:44 ,  Issue: 6 )