Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of the model by introducing sparsity, that is, retaining only some important features of the image. However, the...

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Vydáno v:	IEEE transactions on signal processing Ročník 73; s. 1839 - 1850
Hlavní autoři:	Jin, Wenzhe, Lyu, Wentao, Guo, Qing, Deng, Zhijiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	Accuracy Approximation algorithms Bayes methods block coordinate descent Computational modeling Data models generalized approximate message passing Image reconstruction Inference algorithms Message passing Signal processing algorithms Sparse Bayesian learning Sparse matrices
ISSN:	1053-587X, 1941-0476
On-line přístup:	Získat plný text
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