P. Charbonnier, L. Blanc-Feraud, G. Aubert and M. Barlaud: Deterministic edge-preserving regularization in computed imaging. In IEEE Transaction on Image Processing, vol. 6 (2): 298-311,1997. Home/Search Document Not in Database Summary Related Articles Check |
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A Stochastic Approach to Content Adaptive Digital.. - Sviatoslav.. (1999) (1 citation) (Correct)
....not exist, since the penalty function could be non convex for fl 1. In practice, iterative algorithms are often used to solve this problem. Examples of such algorithms are the stochastic [13] and deterministic annealing (mean field annealing) 20] graduated nonconvexity [19] ARTUR algorithm [21] or its generalization [22] However, it should be noted that for the particular case of fl = 1, a closed form solution in wavelet domain exists: it is known as soft shrinkage ( 23] 14] Of course, it is preferable to obtain the closed form solution for the analysis of the obtained estimate. To ....
P.Charbonnier, L.Blanc-Feraud, G.Aubert, M.Barlaud: Deterministic EdgePreserving Regularization in Computed Images, IEEE Trans. on Image Processing, 1997, Vol.6, No.2, pp.298-311.
Combining Shape Prior and Statistical Features for.. - Gastaud, Barlaud, Aubert (2004) Self-citation (Aubert) (Correct)
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P. Charbonnier, L. Blanc-Feraud, G. Aubert and M. Barlaud: Deterministic edge-preserving regularization in computed imaging. In IEEE Transaction on Image Processing, vol. 6 (2): 298-311,1997.
Combining Geometric Prior And Statistical Features For.. - Gastaud, Barlaud, Aubert (2003) Self-citation (Aubert) (Correct)
No context found.
P. Charbonnier, L. Blanc-Feraud, G. Aubert and M. Barlaud: Deterministic edge-preserving regularization in computed imaging. In IEEE Transaction on Image Processing, vol. 6 (2): 298-311,1997.
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