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∙ 08/08/2023

Minimizing Quotient Regularization Model

Quotient regularization models (QRMs) are a class of powerful regulariza...

0 Chao Wang, et al. ∙

∙ 07/01/2023

Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising

Poisson noise commonly occurs in images captured by photon-limited imagi...

0 Kevin Bui, et al. ∙

∙ 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...

0 Zheng Tan, et al. ∙

∙ 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...

0 Kevin Bui, et al. ∙

∙ 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...

0 Mengqi Hu, et al. ∙

∙ 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...

0 Kevin Bui, et al. ∙

∙ 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....

0 Yunan Yang, et al. ∙

∙ 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...

0 Mengqi Hu, et al. ∙

∙ 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...

20 Chao Wang, et al. ∙

∙ 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 ...

0 Weihong Guo, et al. ∙

∙ 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...

0 Chao Wang, et al. ∙

∙ 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...

0 Kevin Bui, et al. ∙

∙ 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...

0 Feng Liu, et al. ∙

∙ 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...

0 Wing Hong Wong, et al. ∙

∙ 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...

0 Yaghoub Rahimi, et al. ∙

∙ 01/03/2013

A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications

Demixing problems in many areas such as hyperspectral imaging and differ...

0 Ernie Esser, et al. ∙

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