Int. J. Simul. Multidisci. Des. Optim.
Volume 4, Number 1, January 2010
|Page(s)||33 - 38|
|Published online||21 July 2011|
Blind image restoration as a convex optimization problem
Université de Lille Nord de France, L.M.P.A., ULCO, 50 rue F. Buisson BP 699, F-62228 Calais cedex - France
Corresponding author: email@example.com
Accepted: 15 February 2010
In this paper, we consider the blind image restoration as a convex constrained problem and we propose to solve this problem by a conditional gradient ethod. Such a method is based on a Thikonov regularization technique and is obtained by an approximation of the blur matrix as a Kronecker product of two matrices given as a sum of a Toeplitz and Hankel matrices. Numerical examples are given to show the efficiency of our proposed method.
Key words: Image restoration / Kronecker product / Tikhonov regularization / Convex optimization
© ASMDO, 2010
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