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Items: 1 to 20 of 89

1.

Experimental investigation of the quality of ghost imaging via sparsity constraints.

Gong W, Bo Z, Li E, Han S.

Appl Opt. 2013 May 20;52(15):3510-5. doi: 10.1364/AO.52.003510.

PMID:
23736237
2.

High-resolution far-field ghost imaging via sparsity constraint.

Gong W, Han S.

Sci Rep. 2015 Mar 19;5:9280. doi: 10.1038/srep09280.

3.

Multiple-input ghost imaging via sparsity constraints.

Gong W, Han S.

J Opt Soc Am A Opt Image Sci Vis. 2012 Aug 1;29(8):1571-9. doi: 10.1364/JOSAA.29.001571.

PMID:
23201872
4.

The influence of sparsity property of images on ghost imaging with thermal light.

Du J, Gong W, Han S.

Opt Lett. 2012 Mar 15;37(6):1067-9. doi: 10.1364/OL.37.001067.

PMID:
22446227
5.

Three-dimensional ghost imaging lidar via sparsity constraint.

Gong W, Zhao C, Yu H, Chen M, Xu W, Han S.

Sci Rep. 2016 May 17;6:26133. doi: 10.1038/srep26133.

6.

Spectral Camera based on Ghost Imaging via Sparsity Constraints.

Liu Z, Tan S, Wu J, Li E, Shen X, Han S.

Sci Rep. 2016 May 16;6:25718. doi: 10.1038/srep25718.

7.

Exploiting sparsity and low-rank structure for the recovery of multi-slice breast MRIs with reduced sampling error.

Yin XX, Ng BW, Ramamohanarao K, Baghai-Wadji A, Abbott D.

Med Biol Eng Comput. 2012 Sep;50(9):991-1000. doi: 10.1007/s11517-012-0920-x. Epub 2012 May 30.

PMID:
22644257
8.

The influence of non-imaging detector design on heralded ghost-imaging and ghost-diffraction examined using a triggered ICCD camera.

Tasca DS, Aspden RS, Morris PA, Anderson G, Boyd RW, Padgett MJ.

Opt Express. 2013 Dec 16;21(25):30460-73. doi: 10.1364/OE.21.030460.

PMID:
24514623
9.

Quantum limits of super-resolution of optical sparse objects via sparsity constraint.

Wang H, Han S, Kolobov MI.

Opt Express. 2012 Oct 8;20(21):23235-52. doi: 10.1364/OE.20.023235.

PMID:
23188288
10.

Forming positive-negative images using conditioned partial measurements from reference arm in ghost imaging.

Wen J.

J Opt Soc Am A Opt Image Sci Vis. 2012 Sep 1;29(9):1906-11. doi: 10.1364/JOSAA.29.001906.

PMID:
23201947
11.

Gerchberg-Saxton-like ghost imaging.

Wang W, Hu X, Liu J, Zhang S, Suo J, Situ G.

Opt Express. 2015 Nov 2;23(22):28416-22. doi: 10.1364/OE.23.028416.

PMID:
26561112
12.

Application of multi-correlation-scale measurement matrices in ghost imaging via sparsity constraints.

Chen M, Li E, Han S.

Appl Opt. 2014 May 1;53(13):2924-8. doi: 10.1364/AO.53.002924.

PMID:
24921881
13.

Information optimal compressive sensing: static measurement design.

Ashok A, Huang LC, Neifeld MA.

J Opt Soc Am A Opt Image Sci Vis. 2013 May 1;30(5):831-53. doi: 10.1364/JOSAA.30.000831.

PMID:
23695314
14.

Differential ghost imaging.

Ferri F, Magatti D, Lugiato LA, Gatti A.

Phys Rev Lett. 2010 Jun 25;104(25):253603. Epub 2010 Jun 25. Erratum in: Phys Rev Lett. 2010 Nov 19;105(21):219902.

PMID:
20867377
15.

Morphology separation in ghost imaging via sparsity constraint.

Xu X, Li E, Yu H, Gong W, Han S.

Opt Express. 2014 Jun 16;22(12):14375-81. doi: 10.1364/OE.22.014375.

PMID:
24977534
16.

Edge detection based on gradient ghost imaging.

Liu XF, Yao XR, Lan RM, Wang C, Zhai GJ.

Opt Express. 2015 Dec 28;23(26):33802-11. doi: 10.1364/OE.23.033802.

PMID:
26832041
17.

Iterative ghost imaging.

Wang W, Wang YP, Li J, Yang X, Wu Y.

Opt Lett. 2014 Sep 1;39(17):5150-3. doi: 10.1364/OL.39.005150.

PMID:
25166096
18.

Nonlocally centralized sparse representation for image restoration.

Dong W, Zhang L, Shi G, Li X.

IEEE Trans Image Process. 2013 Apr;22(4):1620-30. doi: 10.1109/TIP.2012.2235847. Epub 2012 Dec 21.

PMID:
23269751
19.

High quality computational ghost imaging using multi-fluorescent screen.

Ghanbari-Ghalehjoughi H, Ahmadi-Kandjani S, Eslami M.

J Opt Soc Am A Opt Image Sci Vis. 2015 Feb 1;32(2):323-8. doi: 10.1364/JOSAA.32.000323.

PMID:
26366605
20.

Equivalence probability and sparsity of two sparse solutions in sparse representation.

Li Y, Cichocki A, Amari S, Xie S, Guan C.

IEEE Trans Neural Netw. 2008 Dec;19(12):2009-21. doi: 10.1109/TNN.2008.2003980.

PMID:
19054726
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