Work

Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI

Year: 2016

Type: conference-paper

Source: International Conference on Image Processing Theory, Tools and Applications (IPTA)

DOI: 10.1109/ipta.2016.7820983

Authors: Xu-Xin Lin, Liang-Yong Xia, Yong Liang, Hai-Hui Huang, Hua Chai, Kuok-Fan Chan

Institution: Macau University of Science and Technology

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Science and Technology Development Fund

OpenAlex ID: W2575500372

FWCI: 0.351

Cites: 17

Cited by: 2

Related to: 10