1 citations · 3 across the 6 of their papers we have counts for
6 papers
LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction
Qifeng Gao, Rui Ding, Linyuan Wang +2
In the practical applications of computed tomography imaging, the projection data may be acquired within a limited-angle range and corrupted by noises due to the limitation of scan…
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective
Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan
In this paper, we propose a new variational model for image reconstruction by minimizing the norm of the \emph{Weingarten map} of image surface for a given ima…
Image Reconstruction via Discrete Curvatures
Qiuxiang Zhong, Ke Yin, Yuping Duan
The curvature regularities are well-known for providing strong priors in the continuity of edges, which have been applied to a wide range of applications in image processing and co…
Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal
Jie Zhang, Yuping Duan, Yue Lu +2
In this paper, we propose new operator-splitting algorithms for the total variation regularized infimal convolution (TV-IC) model [4] in order to remove mixed Poisson-Gaussian(MPG)…
-regularized Variational Methods for Sparse Phase Retrieval
Yuping Duan, Chunlin Wu, Zhi-Feng Pang +1
We study the problem of recovering the underlining sparse signals from clean or noisy phaseless measurements. Due to the sparse prior of signals, we adopt an L0regularized variatio…
Primal-dual method to the minimized surface regularization for image restoration
Zhi-Feng Pang, Yuping Duan
We propose a new image restoration model based on the minimized surface regularization. The proposed model closely relates to the classical smoothing ROF model \cite{4}. We can ref…