77 citations · 108 across the 5 of their papers we have counts for
5 papers
Sorted L1/L2 Minimization for Sparse Signal Recovery
Chao Wang, Ming Yan, Junjie Yu
This paper introduces a novel approach for recovering sparse signals using sorted L1/L2 minimization. The proposed method assigns higher weights to indices with smaller absolute va…
Minimizing Quotient Regularization Model
Chao Wang, Jean-Francois Aujol, Guy Gilboa +1
Quotient regularization models (QRMs) are a class of powerful regularization techniques that have gained considerable attention in recent years, due to their ability to handle comp…
Minimizing L1 over L2 norms on the gradient
Chao Wang, Min Tao, Chen-Nee Chuah +2
In this paper, we study the L1/L2 minimization on the gradient for imaging applications. Several recent works have demonstrated that L1/L2 is better than the L1 norm when approxima…
Limited-angle CT reconstruction via the L1/L2 minimization
Chao Wang, Min Tao, James Nagy +1
In this paper, we consider minimizing the L1/L2 term on the gradient for a limited-angle scanning problem in computed tomography (CT) reconstruction. We design a specific splitting…
Accelerated Schemes for the Minimization
Chao Wang, Ming Yan, Yaghoub Rahimi +1
In this paper, we consider the minimization for sparse recovery and study its relationship with the - model. Based on this relationship, we propose three nu…