56 citations · 89 across the 7 of their papers we have counts for
6 papers · 1 filter
Block Coordinate Regularization by Denoising
Yu Sun, Jiaming Liu, Ulugbek S. Kamilov
We consider the problem of estimating a vector from its noisy measurements using a prior specified only through a denoising function. Recent work on plug-and-play priors (PnP) and…
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
Yu Sun, Shiqi Xu, Yunzhe Li +3
The plug-and-play priors (PnP) framework has been recently shown to achieve state-of-the-art results in regularized image reconstruction by leveraging a sophisticated denoiser with…
Image Restoration using Total Variation Regularized Deep Image Prior
Jiaming Liu, Yu Sun, Xiaojian Xu +1
In the past decade, sparsity-driven regularization has led to significant improvements in image reconstruction. Traditional regularizers, such as total variation (TV), rely on anal…
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov
Plug-and-play priors (PnP) is a powerful framework for regularizing imaging inverse problems by using advanced denoisers within an iterative algorithm. Recent experimental evidence…
Stability of Scattering Decoder For Nonlinear Diffractive Imaging
Yu Sun, Ulugbek S. Kamilov
The problem of image reconstruction under multiple light scattering is usually formulated as a regularized non-convex optimization. A deep learning architecture, Scattering Decoder…
Efficient and accurate inversion of multiple scattering with deep learning
Yu Sun, Zhihao Xia, Ulugbek S. Kamilov
Image reconstruction under multiple light scattering is crucial in a number of applications such as diffraction tomography. The reconstruction problem is often formulated as a nonc…