166 citations · 545 across the 25 of their papers we have counts for
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math.NA2021★ 1 cited
Implicit Regularization Effects of the Sobolev Norms in Image Processing
Bowen Zhu, Jingwei Hu, Yifei Lou +1
In this paper, we propose to use the general -based Sobolev norms, i.e., norms where , to measure the data discrepancy due to noise in image processing…
stat.CO2021
A general framework of rotational sparse approximation in uncertainty quantification
Mengqi Hu, Yifei Lou, Xiu Yang
This paper proposes a general framework to estimate coefficients of generalized polynomial chaos (gPC) used in uncertainty quantification via rotational sparse approximation. In pa…
math.NA2021★ 25 cited
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…