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Minimizing L 1 over L 2 norms on the gradient
Work
Year: 2022
Type: article
Abstract: 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 approximating the L0 norm to ... more
Source: Inverse Problems
Authors Chao Wang, Min Tao, Chen‐Nee Chuah, James G. Nagy, Yifei Lou
Institutions Southern University of Science and Technology, University of California, Davis, Nanjing University, Emory University, The University of Texas at Dallas
Cites: 61
Cited by: 17
Related to: 10
FWCI: 2.662
Citation percentile (by year/subfield): 76.36
Topic: Sparse and Compressive Sensing Techniques
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders National Natural Science Foundation of China, Research Grants Council, University Grants Committee, Natural Science Foundation of Jiangsu Province, National Institutes of Health, Division of Mathematical Sciences +1 more
Grant IDS 11971228, No. CityU11301120, BK20181257, 5R01CA181171-04, 1819042 +1 more