Compressive imaging based on multi-scale modulation and reconstruction in spatial frequency domain*

[1]  E. Hendry,et al.  Noninvasive, near-field terahertz imaging of hidden objects using a single-pixel detector , 2015, Science Advances.

[2]  Edmund Y Lam,et al.  Fast compressive measurements acquisition using optimized binary sensing matrices for low-light-level imaging. , 2016, Optics express.

[3]  Enrong Li,et al.  Application of multi-correlation-scale measurement matrices in ghost imaging via sparsity constraints. , 2014, Applied optics.

[4]  Yuexian Hou,et al.  A novel compressive sensing method based on SVD sparse random measurement matrix in wireless sensor network , 2016 .

[5]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[6]  E. Candès.  The restricted isometry property and its implications for compressed sensing , 2008 .

[7]  Krzysztof Czajkowski,et al.  Single-pixel imaging with Morlet wavelet correlated random patterns , 2017, Scientific Reports.

[8]  Wenlin Gong,et al.  Ghost imaging lidar via sparsity constraints , 2012, 1203.3835.

[9]  Miles J. Padgett,et al.  A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging , 2017, Scientific Reports.

[10]  Li Feng,et al.  Respiratory Motion-Resolved Compressed Sensing Reconstruction of Free-Breathing Radial Acquisition for Dynamic Liver Magnetic Resonance Imaging , 2015, Investigative radiology.

[11]  Zibang Zhang,et al.  Hadamard single-pixel imaging versus Fourier single-pixel imaging. , 2017, Optics express.

[12]  Qian Chen,et al.  Adaptive compressed photon counting 3D imaging based on wavelet trees and depth map sparse representation. , 2016, Optics express.

[13]  Xavier Intes,et al.  Compressive hyperspectral time-resolved wide-field fluorescence lifetime imaging. , 2017, Nature photonics.

[14]  Adrian Stern,et al.  Quantization error and dynamic range considerations for compressive imaging systems design. , 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.

[15]  Xue-Feng Liu,et al.  Quantum limit of photon-counting imaging based on compressed sensing. , 2017, Optics express.

[16]  Emmanuel J. Candès,et al.  Decoding by linear programming , 2005, IEEE Transactions on Information Theory.

[17]  Chao Wang,et al.  Complementary compressive imaging for the telescopic system , 2014, Scientific Reports.

[18]  Jingang Zhong,et al.  Single-pixel imaging by means of Fourier spectrum acquisition , 2015, Nature Communications.

[19]  Henry Arguello,et al.  Compressive Coded Aperture Spectral Imaging: An Introduction , 2014, IEEE Signal Processing Magazine.

[20]  Emmanuel J. Candès,et al.  Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.

[21]  Shuai Sun,et al.  Multi-scale Adaptive Computational Ghost Imaging , 2016, Scientific Reports.

[22]  Zhiqiang Xu,et al.  Compressed Sensing Matrices From Fourier Matrices , 2013, IEEE Transactions on Information Theory.