3 papers
cs.CV2026
Frequency-Decoupled Diffusion Guidance for Non-Blind Image Deblurring
Sihan Wang, Jinshu Huang, Haibin Su +1
Pretrained diffusion models provide powerful image priors for training-free posterior sampling in image restoration. To guide this sampling process, frequency-aware methods progres…
math.OC2020
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…
math.NA2019
An Efficient and Globally Convergent Algorithm for - Model in Group Sparse Optimization
Yunhua Xue, Yanfei Feng, Chunlin Wu
Group sparsity combines the underlying sparsity and group structure of the data in problems. We develop a proximally linearized algorithm InISSAPL for the non-Lipschitz group spars…