Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via Off-the-Grid Regularization
DOI10.1137/19M1298524zbMath1458.94017arXiv1911.03150OpenAlexW3047572094MaRDI QIDQ5143293
Jae Kyu Choi, Jian-Feng Cai, Ke Wei
Publication date: 11 January 2021
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1911.03150
magnetic resonance imagingtight wavelet framesfinite-rate-of-innovationdata driven tight framesproximal alternating schemesstructured low rank matrix completion
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Applications of mathematical programming (90C90) Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) General harmonic expansions, frames (42C15) Fourier series and coefficients in several variables (42B05) Numerical methods for inverse problems for integral equations (65R32) Sampling theory in information and communication theory (94A20) Numerical methods for variational inequalities and related problems (65K15)
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