Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 188-191.doi: 10.11896/jsjkx.200200058
• Computer Graphics & Multimedia • Previous Articles Next Articles
WU Xue-lin1, ZHU Rong1,2, GUO Ying3
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[1] PITTMAN T,SHIH Y,STREKALOV D,et al.Optical imaging by means of two-photon quantum entanglement[J].Physical Review A,1995,52(5):R3429. [2] BENNINK R S,BENTLEY S J,BOYD R W.“Two-photon” coincidence imaging with a classical source[J].Physical Review Letters,2002,89(11):113601. [3] GATTI A,BRAMBILLA E,BACHE M,et al.Ghost imagingwith thermal light:comparing entanglement and classicalcorrelation[J].Physical Review Letters,2004,93(9):093602. [4] SHAPIRO J H.Computational ghost imaging[J].Physical Review A,2008,78(6):061802. [5] SHAPIRO J H,BOYD R W.The physics of ghost imaging[J].Quantum Information Processing,2012,11(4):949-993. [6] SCARCELLI G,BERARDI V,SHIH Y.Phase-conjugate mirror via two-photon thermal light imaging[J].Applied Physics Letters,2006,88(6):R3429. [7] SHIH Y.100% Correlation of Chaotic-thermal Light and Turbulence-Free Imaging[J].Physical Review A,2013,88(2):179-184. [8] SUN M,LI M,WU L.Nonlocal imaging of a reflective objectusing positive and negative correlations[J].Applied Optics,2015,54(25):7494-7499. [9] FERRI F,MAGATTI D,LUGIATO L A,et al.DifferentialGhost Imaging[J].Physical Review Letters,2010,104(25):253603. [10] KATZ O,BROMBERG Y,SILBERBERG Y.Compressive ghost imaging[J].Applied Physics Letters,2009,95(13):131110. [11] WANG W,HU X,LIU J,et al.Gerchberg-Saxton-like ghost ima-ging[J].Optics Express,2015,23(22):28416-28422. [12] ZHAO C,GONG W,CHEN M,et al.Ghost imaging lidar via sparsity constraints[J].Applied Physics Letters,2012,101(14):141123. [13] HU X,SUO J,YUE T,et al.Patch-primitive driven compressive ghost imaging[J].Optics Express,2015,23(9):11092-11104. [14] KATKOVNIK V,ASTOLA J.Compressive sensing computa-tional ghost imaging[J].Journal of the Optical Society of America a-Optics Image Science and Vision,2012,29(8):1556-1567. [15] WU H,ZHANG X,GAN J,et al.High-quality correspondence imaging based on sorting and compressive sensing technique[J].Laser Physics Letters,2016,13(11):115205. [16] WANG W,WANG Y P,LI J,et al.Iterative ghost imaging[J].Optics Letters,2014,39(17):5150-5153. [17] KATKOVNIK V,ASTOLA J.Compressive sensing computa-tional ghost imaging[J].JOSA A,2012,29(8):1556-1567. [18] CANDÉS E J,WAKIN M B.An introduction to compressivesampling[J].IEEE Signal Processing Magazine,2008,25(2):21-30. [19] CANDES E J.The restricted isometry property and its implications for compressed sensing[J].Comptes Rendus Mathematique,2008,346(9-10):589-592. [20] LV X,BI G,WAN C.The Group Lasso for Stable Recovery of Block-Sparse Signal Representations[J].IEEE Transactions on Signal Processing,2011,59(4):1371-1382. [21] ELDAR Y C,KUPPINGER P,BOLCSKEI H.Block-Sparse Signals:Uncertainty Relations and Efficient Recovery[J].IEEE Transactions on Signal Processing,2010,58(6):3042-3054. [22] WIPF D P,RAO B D.Sparse Bayesian learning for basis selection[J].IEEE Transactions on Signal Processing,2004,52(8):2153-2164. [23] ZHANG Z,RAO B D.Extension of SBL Algorithms for the Recovery of Block Sparse Signals With Intra-Block Correlation[J].IEEE Transactions on Signal Processing,2013,61(8):2009-2015. [24] BABACAN S D,NAKAJIMA S,DO M N.Bayesian Group-Sparse Modeling and Variational Inference[J].IEEE Transactions on Signal Processing,2014,62(11):2906-2921. [25] ZHU R,LI G,GUO Y.Compressed-sensing-based gradient reconstruction for ghost imaging[J].International Journal of Theo-retical Physics,2019,58(4):1215-1226. |
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