4 papers
Deep Inertia Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction
Yu Guo, Caiying Wu, Yaxin Li +2
Sparse view computed tomography (CT) reconstruction poses a challenging ill-posed inverse problem, necessitating effective regularization techniques. In this letter, we employ $L_p…
An inexact proximal MM method for a class of nonconvex composite image reconstruction models
Bujin Li, Shaohua Pan, Tieyong Zeng
This paper concerns a class of composite image reconstruction models for impluse noise removal, which is rather general and covers existing convex and nonconvex models proposed for…
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering
Rina Su, Yu Guo, Caiying Wu +2
The main objective of the Multiple Kernel k-Means (MKKM) algorithm is to extract non-linear information and achieve optimal clustering by optimizing base kernel matrices. Current m…
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution
Hongjun Wang, Jiyuan Chen, Yinqiang Zheng +1
Deep learning has led to a dramatic leap on Single Image Super-Resolution (SISR) performances in recent years. %Despite the substantial advancement% While most existing work assume…