Tikhonov regularization parameter based on augmented Lagrange improves photoacoustic tomography

In photoacoustic imaging, regularization is often used to improve the fidelity of reconstructed images. This method is based on augmented Lagrangian alternate TV method, which is a known compression sensing method. The results show that this method can quickly calculate the regularization parameters and efficiently reconstruct the initial sound pressure. In this paper, 2 - valued image and CT scan data are used to evaluate the algorithm