32 citations · 43 across the 7 of their papers we have counts for
7 papers
Perceptually Regularized Diffusion Model for Image Super-Resolution
Chuxiangbo Wang, Pavithra Venkatachalapathy, Ying Liang +4
Image super-resolution, which aims to reconstruct high-resolution images from their low-resolution observations, is fundamental to medical imaging, remote sensing, surveillance, mi…
Image Segmentation with Adaptive Spatial Priors from Joint Registration
Haifeng Li, Weihong Guo, Jun Liu +2
Image segmentation is a crucial but challenging task that has many applications. In medical imaging for instance, intensity inhomogeneity and noise are common. In thigh muscle imag…
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Yinan Wang, Diane Oyen, Weihong +7
Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of cracks aided by high internal stresses. Hence, accurate prediction of maximum internal…
A Novel Regularization Based on the Error Function for Sparse Recovery
Weihong Guo, Yifei Lou, Jing Qin +1
Regularization plays an important role in solving ill-posed problems by adding extra information about the desired solution, such as sparsity. Many regularization terms usually inv…
PCM-TV-TFV: A Novel Two Stage Framework for Image Reconstruction from Fourier Data
Weihong Guo, Guohui Song, Yue Zhang
We propose in this paper a novel two-stage Projection Correction Modeling (PCM) framework for image reconstruction from (non-uniform) Fourier measurements. PCM consists of a projec…
Single image super-resolution by approximated Heaviside functions
Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang
Image super-resolution is a process to enhance image resolution. It is widely used in medical imaging, satellite imaging, target recognition, etc. In this paper, we conduct continu…
Two-stage Geometric Information Guided Image Reconstruction
Jing Qin, Weihong Guo
In compressive sensing, it is challenging to reconstruct image of high quality from very few noisy linear projections. Existing methods mostly work well on piecewise constant image…