Stabilized Hard Thresholding of Wavelet-Vaguelette Decomposition Coefficients in Reconstructing Tomographic Images Using Projections with Correlated Noise
- 作者: Shestakov O.V.1,2
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隶属关系:
- Faculty of Computational Mathematics and Cybernetics
- Institute of Informatics Problems, Federal Research Center Computer Science and Control
- 期: 卷 43, 编号 3 (2019)
- 页面: 133-137
- 栏目: Article
- URL: https://journals.rcsi.science/0278-6419/article/view/176317
- DOI: https://doi.org/10.3103/S0278641919030063
- ID: 176317
如何引用文章
详细
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.
作者简介
O. Shestakov
Faculty of Computational Mathematics and Cybernetics; Institute of Informatics Problems, Federal Research Center Computer Science and Control
编辑信件的主要联系方式.
Email: oshestakov@cs.msu.su
俄罗斯联邦, Moscow, 119991; Moscow, 119333
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