Exact decomposition of joint low rankness and local smoothness plus sparse matrices

J Peng, Y Wang, H Zhang, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
It is known that the decomposition in low-rank and sparse matrices (L+ S for short) can be
achieved by several Robust PCA techniques. Besides the low rankness, the local …

Basis and current state of computed tomography perfusion imaging: a review

D Zeng, C Zeng, Z Zeng, S Li, Z Deng… - Physics in Medicine …, 2022 - iopscience.iop.org
Computed tomography perfusion (CTP) is a functional imaging that allows for providing
capillary-level hemodynamics information of the desired tissue in clinics. In this paper, we …

Adaptive weighted total variation minimization based alternating direction method of multipliers for limited angle CT reconstruction

F Luo, W Li, W Tu, W Wu - IEEE Access, 2018 - ieeexplore.ieee.org
In CT image reconstruction, the limited angle problem is an ill-posed problem. To solve this
ill-posed problem, the total variation (TV) regularization has been widely used in image …

Image denoising via double-weighted correlated total variation regularization

Z Zhang, P Zhang, X Liu, J Hou, Q Feng, J Wang - Applied Intelligence, 2025 - Springer
Image denoising is a widely concerned problem, which has been successfully applied in
remote sensing, medicine and other fields. A typical idea of image denoising is to exploit …

High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations

S Zhang, D Zeng, S Niu, H Zhang, H Xu, S Li, S Qiu… - Neurocomputing, 2019 - Elsevier
Cerebral perfusion computed tomography (PCT) provides a comprehensive and accurate
noninvasive survey of the site of arterial occlusion by producing hemodynamic parameter …