A sparse optimization problem with hybrid $$L_2{\text {-}}L_p$$L2-Lp regularization for application of magnetic resonance brain images

Xuerui Gao (), Yanqin Bai () and Qian Li ()
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Xuerui Gao: Shanghai University
Yanqin Bai: Shanghai University
Qian Li: Shanghai University of Engineering Science

Journal of Combinatorial Optimization, No 0, 25 pages

Abstract: Abstract Regularization techniques have been proved useful in an enormous variety of sparse optimization problem. In this paper, we introduce a new formulation of regularization with a hybrid $$L_2{\text {-}}L_p~(0

Keywords: Sparse optimization; Hybrid $$L_2{\text {-}}L_p$$ L 2 - L p regularization; Optimality conditions; Magnetic resonance brain images; Image recovery and deblurring; 90C26; 90C46; 90C90; 65K05 (search for similar items in EconPapers)
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DOI: 10.1007/s10878-019-00479-x

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