Photoacoustic image reconstruction based on Bayesian compressive sensing algorithm
文件大小: 332k
源码售价: 10 个金币 积分规则     积分充值
资源说明:The photoacoustic tomography (PAT) method, based on compressive sensing (CS) theory, requires that, for the CS reconstruction, the desired image should have a sparse representation in a known transform domain. However, the sparsity of photoacoustic signals is destroyed because noises always exist. Therefore, the original sparse signal cannot be effectively recovered using the general reconstruction algorithm. In this study, Bayesian compressive sensing (BCS) is employed to obtain highly sparse r
本源码包内暂不包含可直接显示的源代码文件,请下载源码包。