Two-stage adaptive random Fourier sampling method for image reconstruction
Authors:
- Joo Dong YunJYJoo Dong Yun
- Yunho KimYKYunho Kim
- 1 September 2021
- journal article
- research article
- Published by Elsevier in Pattern Recognition
- Vol. 117
Abstract
No abstract availableKeywords
Funding Information
- Ulsan National Institute of Science and Technology
- National Research Foundation of Korea
This publication has 25 references indexed in Scilit:
- Stable and Robust Sampling Strategies for Compressive ImagingIEEE Transactions on Image Processing, 2013
- How well can we estimate a sparse vector?Applied and Computational Harmonic Analysis, 2013
- Adapted random sampling patterns for accelerated MRIMagnetic Resonance Materials in Physics, Biology and Medicine, 2011
- On Reconstruction from Non-uniform Spectral DataJournal of Scientific Computing, 2010
- Sparse MRI: The application of compressed sensing for rapid MR imagingMagnetic Resonance in Medicine, 2007
- Sparsity and incoherence in compressive samplingInverse Problems, 2007
- Accelerating the Nonuniform Fast Fourier TransformSIAM Review, 2004
- Reconstruction of a compactly supported function from the discrete sampling of its Fourier transformIEEE Transactions on Signal Processing, 1999
- Fast Fourier Transforms for Nonequispaced DataSIAM Journal on Scientific Computing, 1993
- A fast algorithm for Chebyshev, Fourier, and sinc interpolation onto an irregular gridJournal of Computational Physics, 1992