2 citations · 4 across the 4 of their papers we have counts for
4 papers
On anisotropic non-Lipschitz restoration model: lower bound theory and convergent algorithm
Chunlin Wu, Xuan Lin, Yufei Zhao
For nonconvex and nonsmooth restoration models, the lower bound theory reveals their good edge recovery ability, and related analysis can help to design convergent algorithms. Exis…
A fast method for simultaneous reconstruction and segmentation in X-ray CT application
Yiqiu Dong, Chunlin Wu, Shi Yan
In this paper, we propose a fast method for simultaneous reconstruction and segmentation (SRS) in X-ray computed tomography (CT). Our work is based on the SRS model where Bayes' ru…
Effective two-stage image segmentation: a new non-Lipschitz decomposition approach with convergent algorithm
Xueyan Guo, Yunhua Xue, Chunlin Wu
Image segmentation is an important median level vision topic. Accurate and efficient multiphase segmentation for images with intensity inhomogeneity is still a great challenge. We…
Every critical point of an L0 composite minimization problem is a local minimizer
Xue Feng, Chunlin Wu
Nowadays, L0 optimization model has shown its superiority when pursuing sparsity in many areas. For this nonconvex problem, most of the algorithms can only converge to one of its c…