@inproceedings{23334f7b8ecf4ddfb020eedd620c0b94,
title = "Medical image reconstruction based on Bayesian compressed sensing",
abstract = "A medical image reconstruction method based on sparse Bayesian compressed sensing is presented, and the method employs a hierarchical model of the Laplace prior to model the sparse wavelet coefficients and unknown images. The experiments are designed to compare the Bayesian Compressed Sensing (BCS) method with the Basis Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm. The results imply that the presented algorithm exceeds the greedy algorithm and the linear programming such as BP and OMP etc.",
keywords = "Compressed sensing, Gaussian distribution, Image reconstruction, Laplace prior, Marginal likelihood, Sparse Bayesian",
author = "Li, \{Yu Hong\} and Wang, \{De Feng\} and Lui, \{L. M.\} and Ahuja, \{A. T.\} and Heng, \{Pheng Ann\}",
year = "2011",
doi = "10.1109/ICMLC.2011.6016990",
language = "英语",
isbn = "9781457703065",
series = "Proceedings - International Conference on Machine Learning and Cybernetics",
publisher = "IEEE Computer Society",
pages = "1819--1824",
booktitle = "Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011",
address = "美国",
note = "10th International Conference on Machine Learning and Cybernetics, ICMLC 2011 ; Conference date: 10-07-2011 Through 13-07-2011",
}