research
∙
08/08/2023
Minimizing Quotient Regularization Model
Quotient regularization models (QRMs) are a class of powerful regulariza...
share
research
∙
07/01/2023
Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising
Poisson noise commonly occurs in images captured by photon-limited imagi...
research
∙
03/17/2023
Non-convex approaches for low-rank tensor completion under tubal sampling
Tensor completion is an important problem in modern data analysis. In th...
research
∙
01/06/2023
Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal
In this paper, we aim to segment an image degraded by blur and Poisson n...
research
∙
08/25/2022
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum
This paper applies an idea of adaptive momentum for the nonlinear conjug...
research
∙
02/21/2022
A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation
In this paper, we propose a multi-stage image segmentation framework tha...
research
∙
09/13/2021
Implicit Regularization Effects of the Sobolev Norms in Image Processing
In this paper, we propose to use the general L^2-based Sobolev norms (i....
research
∙
01/13/2021
The l1-l2 minimization with rotation for sparse approximation in uncertainty quantification
This paper proposes a combination of rotational compressive sensing with...
research
∙
01/04/2021
Minimizing L1 over L2 norms on the gradient
In this paper, we study the L1/L2 minimization on the gradient for imagi...
research
∙
07/06/2020
A Novel Regularization Based on the Error Function for Sparse Recovery
Regularization plays an important role in solving ill-posed problems by ...
research
∙
05/31/2020
Limited-angle CT reconstruction via the L1/L2 minimization
In this paper, we consider minimizing the L1/L2 term on the gradient for...
research
∙
05/09/2020
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation
In a class of piecewise-constant image segmentation models, we incorpora...
research
∙
06/05/2019
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior
Brain source imaging is an important method for noninvasively characteri...
research
∙
04/23/2019
Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness
Recovering a signal from its Fourier magnitude is referred to as phase r...
research
∙
12/20/2018
A Scale Invariant Approach for Sparse Signal Recovery
In this paper, we study the ratio of the L_1 and L_2 norms, denoted as...
research
∙
01/03/2013
