Stabilized Hard Thresholding of Wavelet-Vaguelette Decomposition Coefficients in Reconstructing Tomographic Images Using Projections with Correlated Noise


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Resumo

A way of reconstructing tomographic images based on wavelet-vaguelette decomposition is considered for a model with correlated additive noise. The asymptotic properties of an unbiased estimator are studied for the mean-square risk with stabilized hard thresholding of the coefficients of decomposition. It is shown that under certain conditions, this estimator is strongly consistent and asymptotically normal.

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O. Shestakov

Faculty of Computational Mathematics and Cybernetics; Institute of Informatics Problems, Federal Research Center Computer Science and Control

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Email: oshestakov@cs.msu.su
Rússia, Moscow, 119991; Moscow, 119333

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