S. Li, X. R. Yao, W. K. Yu, L. A. Wu, and G. J. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38(12), 2144–2146 (2013).

[Crossref]
[PubMed]

W. K. Yu, S. Li, X. R. Yao, X. F. Liu, L. A. Wu, and G. J. Zhai, “Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network,” Appl. Opt. 52(33), 7882–7888 (2013).

[Crossref]

M. Aßmann and M. Bayer, “Compressive adaptive computational ghost imaging,” Sci. Rep. 3, 1545 (2013).

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

A. Averbuch, S. Dekel, and S. Deutsch, “Adaptive compressed image sensing using dictionaries,” SIAM J. Imaging Sci. 5(1), 57–89 (2012).

[Crossref]

W. L. Gong and S. S. Han, “Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints,” Phys. Lett. A 376(17), 1519–1522 (2012).

[Crossref]

N. B. Karahanoglu and H. Erdogan, “A* orthogonal matching pursuit: best-first search for compressed sensing signal recovery,” Digit. Sig. Process. 22(4), 555–568 (2012).

[Crossref]

J. Yang, Y. Zhang, and W. Yin, “A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data,” IEEE J. Sel. Top. Signal Processing 4(2), 288–297 (2010).

[Crossref]

Y. Bromberg, O. Katz, and Y. Silberberg, “Ghost imaging with a single detector,” Phys. Rev. A 79(5), 053840 (2009).

[Crossref]

O. Katz, Y. Bromberg, and Y. Silberberg, “Compressive ghost imaging,” Appl. Phys. Lett. 95(13), 131110 (2009).

[Crossref]

P. Sen and S. Darabi, “Compressive dual photography,” Computer Graphics Forum 28(2), 609–618 (2009).

[Crossref]

M. Fornasier and H. Rauhut, “Iterative thresholding algorithms,” Appl. Comput. Harmon. Anal. 25(2), 187–208 (2008).

[Crossref]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

B. I. Erkmen and J. H. Shapiro, “Unified theory of ghost imaging with Gaussian-state light,” Phys. Rev. A 77(4), 043809 (2008).

[Crossref]

J. H. Shapiro, “Computational ghost imaging,” Phys. Rev. A 78, 061802 (2008).

[Crossref]

E. J. Candès, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE Trans. Inf. Theory 52(2), 489–509 (2006).

[Crossref]

D. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006).

[Crossref]

A. Gatti, E. Brambilla, M. Bache, and L. A. Lugiato, “Ghost imaging with thermal light: comparing entanglement and classical correlation,” Phys. Rev. Lett. 93, 093602 (2004).

[Crossref]
[PubMed]

S. G. Chang, B. Yu, and M. Vetterli, “Adaptive wavelet thresholding for image denoising and compression,” IEEE Trans. Image Process. 9(9), 1532–1546 (2000).

[Crossref]

S. S. Chen, D. L. Donoho, and M. A. Saunders, “Atomic decomposition by basis pursuit,” SIAM J. Sci. Comput. 20(1), 33–61 (1998).

[Crossref]

A. Said and W. Pearlman, “A new, fast, and efficient image codec based on set partitioning in hierarchical trees,” IEEE Trans. Circ. Syst. Video Technol. 6(3), 243–250 (1996).

[Crossref]

D. V. Strekalov, A. V. Sergienko, D. N. Klyshko, and Y. H. Shih, “Observation of two-photon “ghost” interference and diffraction,” Phys. Rev. Lett. 74, 3600–3603 (1995).

[Crossref]
[PubMed]

J. Shapiro, “Embedded image coding using zerotrees of wavelet coefficients,” IEEE Trans. Signal Proces. 41(12), 3445–3462 (1993).

[Crossref]

S. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” IEEE Trans. Pattern Anal. 11(7), 674–693 (1989).

[Crossref]

M. Aßmann and M. Bayer, “Compressive adaptive computational ghost imaging,” Sci. Rep. 3, 1545 (2013).

A. Averbuch, S. Dekel, and S. Deutsch, “Adaptive compressed image sensing using dictionaries,” SIAM J. Imaging Sci. 5(1), 57–89 (2012).

[Crossref]

A. Gatti, E. Brambilla, M. Bache, and L. A. Lugiato, “Ghost imaging with thermal light: comparing entanglement and classical correlation,” Phys. Rev. Lett. 93, 093602 (2004).

[Crossref]
[PubMed]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

M. Aßmann and M. Bayer, “Compressive adaptive computational ghost imaging,” Sci. Rep. 3, 1545 (2013).

R. Berinde and P. Indyk, “Sequential sparse matching pursuit,” in Proc. 47th Annu. Allerton Conf. Commun. Control Comput., (2009), 36–43.

V. Studer, J. Bobin, M. Chahid, H. Moussavi, E. J. Candès, and M. Dahan, “Compressive fluorescence microscopy for biological and hyperspectral imaging,” in Proceedings of the National Academy of Sciences, (2012), 109(26), E1679–E1687.

[Crossref]

A. Gatti, E. Brambilla, M. Bache, and L. A. Lugiato, “Ghost imaging with thermal light: comparing entanglement and classical correlation,” Phys. Rev. Lett. 93, 093602 (2004).

[Crossref]
[PubMed]

Y. Bromberg, O. Katz, and Y. Silberberg, “Ghost imaging with a single detector,” Phys. Rev. A 79(5), 053840 (2009).

[Crossref]

O. Katz, Y. Bromberg, and Y. Silberberg, “Compressive ghost imaging,” Appl. Phys. Lett. 95(13), 131110 (2009).

[Crossref]

E. J. Candès, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE Trans. Inf. Theory 52(2), 489–509 (2006).

[Crossref]

E. J. Candès, “Compressive sampling,” in Proc. Int. Cong. Math, (European Mathematical Society, Madrid, Spain, 2006), 3, pp. 1433–1452.

V. Studer, J. Bobin, M. Chahid, H. Moussavi, E. J. Candès, and M. Dahan, “Compressive fluorescence microscopy for biological and hyperspectral imaging,” in Proceedings of the National Academy of Sciences, (2012), 109(26), E1679–E1687.

[Crossref]

J. Haupt, R. Nowak, and R. Castro, “Adaptive sensing for sparse signal recovery,” in Proceedings of the 2009 IEEE Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, (Marco Island, FL, Jan., 2009), 702–707.

V. Studer, J. Bobin, M. Chahid, H. Moussavi, E. J. Candès, and M. Dahan, “Compressive fluorescence microscopy for biological and hyperspectral imaging,” in Proceedings of the National Academy of Sciences, (2012), 109(26), E1679–E1687.

[Crossref]

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

S. G. Chang, B. Yu, and M. Vetterli, “Adaptive wavelet thresholding for image denoising and compression,” IEEE Trans. Image Process. 9(9), 1532–1546 (2000).

[Crossref]

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

S. S. Chen, D. L. Donoho, and M. A. Saunders, “Atomic decomposition by basis pursuit,” SIAM J. Sci. Comput. 20(1), 33–61 (1998).

[Crossref]

V. Studer, J. Bobin, M. Chahid, H. Moussavi, E. J. Candès, and M. Dahan, “Compressive fluorescence microscopy for biological and hyperspectral imaging,” in Proceedings of the National Academy of Sciences, (2012), 109(26), E1679–E1687.

[Crossref]

P. Sen and S. Darabi, “Compressive dual photography,” Computer Graphics Forum 28(2), 609–618 (2009).

[Crossref]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

A. Averbuch, S. Dekel, and S. Deutsch, “Adaptive compressed image sensing using dictionaries,” SIAM J. Imaging Sci. 5(1), 57–89 (2012).

[Crossref]

A. Averbuch, S. Dekel, and S. Deutsch, “Adaptive compressed image sensing using dictionaries,” SIAM J. Imaging Sci. 5(1), 57–89 (2012).

[Crossref]

D. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006).

[Crossref]

S. S. Chen, D. L. Donoho, and M. A. Saunders, “Atomic decomposition by basis pursuit,” SIAM J. Sci. Comput. 20(1), 33–61 (1998).

[Crossref]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

N. B. Karahanoglu and H. Erdogan, “A* orthogonal matching pursuit: best-first search for compressed sensing signal recovery,” Digit. Sig. Process. 22(4), 555–568 (2012).

[Crossref]

B. I. Erkmen and J. H. Shapiro, “Unified theory of ghost imaging with Gaussian-state light,” Phys. Rev. A 77(4), 043809 (2008).

[Crossref]

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

M. Fornasier and H. Rauhut, “Iterative thresholding algorithms,” Appl. Comput. Harmon. Anal. 25(2), 187–208 (2008).

[Crossref]

A. Gatti, E. Brambilla, M. Bache, and L. A. Lugiato, “Ghost imaging with thermal light: comparing entanglement and classical correlation,” Phys. Rev. Lett. 93, 093602 (2004).

[Crossref]
[PubMed]

W. L. Gong and S. S. Han, “Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints,” Phys. Lett. A 376(17), 1519–1522 (2012).

[Crossref]

W. L. Gong and S. S. Han, “Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints,” Phys. Lett. A 376(17), 1519–1522 (2012).

[Crossref]

J. Haupt, R. Nowak, and R. Castro, “Adaptive sensing for sparse signal recovery,” in Proceedings of the 2009 IEEE Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, (Marco Island, FL, Jan., 2009), 702–707.

R. Berinde and P. Indyk, “Sequential sparse matching pursuit,” in Proc. 47th Annu. Allerton Conf. Commun. Control Comput., (2009), 36–43.

N. B. Karahanoglu and H. Erdogan, “A* orthogonal matching pursuit: best-first search for compressed sensing signal recovery,” Digit. Sig. Process. 22(4), 555–568 (2012).

[Crossref]

Y. Bromberg, O. Katz, and Y. Silberberg, “Ghost imaging with a single detector,” Phys. Rev. A 79(5), 053840 (2009).

[Crossref]

O. Katz, Y. Bromberg, and Y. Silberberg, “Compressive ghost imaging,” Appl. Phys. Lett. 95(13), 131110 (2009).

[Crossref]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

D. V. Strekalov, A. V. Sergienko, D. N. Klyshko, and Y. H. Shih, “Observation of two-photon “ghost” interference and diffraction,” Phys. Rev. Lett. 74, 3600–3603 (1995).

[Crossref]
[PubMed]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

C. B. Li, “An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing,” Master Thesis, Rice University, (2010).

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

S. Li, X. R. Yao, W. K. Yu, L. A. Wu, and G. J. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38(12), 2144–2146 (2013).

[Crossref]
[PubMed]

W. K. Yu, S. Li, X. R. Yao, X. F. Liu, L. A. Wu, and G. J. Zhai, “Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network,” Appl. Opt. 52(33), 7882–7888 (2013).

[Crossref]

W. K. Yu, S. Li, X. R. Yao, X. F. Liu, L. A. Wu, and G. J. Zhai, “Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network,” Appl. Opt. 52(33), 7882–7888 (2013).

[Crossref]

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

A. Gatti, E. Brambilla, M. Bache, and L. A. Lugiato, “Ghost imaging with thermal light: comparing entanglement and classical correlation,” Phys. Rev. Lett. 93, 093602 (2004).

[Crossref]
[PubMed]

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

S. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” IEEE Trans. Pattern Anal. 11(7), 674–693 (1989).

[Crossref]

S. Mallat, A wavelet tour of signal processing, the sparse way (Elsevier, 2009), pp. 340–346.

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

V. Studer, J. Bobin, M. Chahid, H. Moussavi, E. J. Candès, and M. Dahan, “Compressive fluorescence microscopy for biological and hyperspectral imaging,” in Proceedings of the National Academy of Sciences, (2012), 109(26), E1679–E1687.

[Crossref]

J. Haupt, R. Nowak, and R. Castro, “Adaptive sensing for sparse signal recovery,” in Proceedings of the 2009 IEEE Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, (Marco Island, FL, Jan., 2009), 702–707.

A. Said and W. Pearlman, “A new, fast, and efficient image codec based on set partitioning in hierarchical trees,” IEEE Trans. Circ. Syst. Video Technol. 6(3), 243–250 (1996).

[Crossref]

M. Fornasier and H. Rauhut, “Iterative thresholding algorithms,” Appl. Comput. Harmon. Anal. 25(2), 187–208 (2008).

[Crossref]

E. J. Candès, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE Trans. Inf. Theory 52(2), 489–509 (2006).

[Crossref]

A. Said and W. Pearlman, “A new, fast, and efficient image codec based on set partitioning in hierarchical trees,” IEEE Trans. Circ. Syst. Video Technol. 6(3), 243–250 (1996).

[Crossref]

S. S. Chen, D. L. Donoho, and M. A. Saunders, “Atomic decomposition by basis pursuit,” SIAM J. Sci. Comput. 20(1), 33–61 (1998).

[Crossref]

P. Sen and S. Darabi, “Compressive dual photography,” Computer Graphics Forum 28(2), 609–618 (2009).

[Crossref]

D. V. Strekalov, A. V. Sergienko, D. N. Klyshko, and Y. H. Shih, “Observation of two-photon “ghost” interference and diffraction,” Phys. Rev. Lett. 74, 3600–3603 (1995).

[Crossref]
[PubMed]

J. Shapiro, “Embedded image coding using zerotrees of wavelet coefficients,” IEEE Trans. Signal Proces. 41(12), 3445–3462 (1993).

[Crossref]

B. I. Erkmen and J. H. Shapiro, “Unified theory of ghost imaging with Gaussian-state light,” Phys. Rev. A 77(4), 043809 (2008).

[Crossref]

J. H. Shapiro, “Computational ghost imaging,” Phys. Rev. A 78, 061802 (2008).

[Crossref]

D. V. Strekalov, A. V. Sergienko, D. N. Klyshko, and Y. H. Shih, “Observation of two-photon “ghost” interference and diffraction,” Phys. Rev. Lett. 74, 3600–3603 (1995).

[Crossref]
[PubMed]

Y. Bromberg, O. Katz, and Y. Silberberg, “Ghost imaging with a single detector,” Phys. Rev. A 79(5), 053840 (2009).

[Crossref]

O. Katz, Y. Bromberg, and Y. Silberberg, “Compressive ghost imaging,” Appl. Phys. Lett. 95(13), 131110 (2009).

[Crossref]

D. V. Strekalov, A. V. Sergienko, D. N. Klyshko, and Y. H. Shih, “Observation of two-photon “ghost” interference and diffraction,” Phys. Rev. Lett. 74, 3600–3603 (1995).

[Crossref]
[PubMed]

V. Studer, J. Bobin, M. Chahid, H. Moussavi, E. J. Candès, and M. Dahan, “Compressive fluorescence microscopy for biological and hyperspectral imaging,” in Proceedings of the National Academy of Sciences, (2012), 109(26), E1679–E1687.

[Crossref]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

E. J. Candès, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE Trans. Inf. Theory 52(2), 489–509 (2006).

[Crossref]

S. G. Chang, B. Yu, and M. Vetterli, “Adaptive wavelet thresholding for image denoising and compression,” IEEE Trans. Image Process. 9(9), 1532–1546 (2000).

[Crossref]

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

W. K. Yu, S. Li, X. R. Yao, X. F. Liu, L. A. Wu, and G. J. Zhai, “Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network,” Appl. Opt. 52(33), 7882–7888 (2013).

[Crossref]

S. Li, X. R. Yao, W. K. Yu, L. A. Wu, and G. J. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38(12), 2144–2146 (2013).

[Crossref]
[PubMed]

D. Zhang, Y. H. Zhai, L. A. Wu, and X. H. Chen, “Correlated two-photon imaging with true thermal light,” Opt. Lett. 30(18), 2354–2356 (2005).

[Crossref]
[PubMed]

J. Yang, Y. Zhang, and W. Yin, “A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data,” IEEE J. Sel. Top. Signal Processing 4(2), 288–297 (2010).

[Crossref]

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

S. Li, X. R. Yao, W. K. Yu, L. A. Wu, and G. J. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38(12), 2144–2146 (2013).

[Crossref]
[PubMed]

W. K. Yu, S. Li, X. R. Yao, X. F. Liu, L. A. Wu, and G. J. Zhai, “Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network,” Appl. Opt. 52(33), 7882–7888 (2013).

[Crossref]

J. Yang, Y. Zhang, and W. Yin, “A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data,” IEEE J. Sel. Top. Signal Processing 4(2), 288–297 (2010).

[Crossref]

S. G. Chang, B. Yu, and M. Vetterli, “Adaptive wavelet thresholding for image denoising and compression,” IEEE Trans. Image Process. 9(9), 1532–1546 (2000).

[Crossref]

W. K. Yu, S. Li, X. R. Yao, X. F. Liu, L. A. Wu, and G. J. Zhai, “Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network,” Appl. Opt. 52(33), 7882–7888 (2013).

[Crossref]

S. Li, X. R. Yao, W. K. Yu, L. A. Wu, and G. J. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38(12), 2144–2146 (2013).

[Crossref]
[PubMed]

S. Li, X. R. Yao, W. K. Yu, L. A. Wu, and G. J. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38(12), 2144–2146 (2013).

[Crossref]
[PubMed]

W. K. Yu, S. Li, X. R. Yao, X. F. Liu, L. A. Wu, and G. J. Zhai, “Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network,” Appl. Opt. 52(33), 7882–7888 (2013).

[Crossref]

J. Yang, Y. Zhang, and W. Yin, “A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data,” IEEE J. Sel. Top. Signal Processing 4(2), 288–297 (2010).

[Crossref]

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

M. Fornasier and H. Rauhut, “Iterative thresholding algorithms,” Appl. Comput. Harmon. Anal. 25(2), 187–208 (2008).

[Crossref]

W. L. Chan, K. Charan, D. Takhar, K. F. Kelly, R. G. Baraniuk, and D. M. Mittleman, “A single-pixel terahertz imaging system based on compressed sensing,” Appl. Phys. Lett. 93(12), 121105 (2008).

[Crossref]

O. Katz, Y. Bromberg, and Y. Silberberg, “Compressive ghost imaging,” Appl. Phys. Lett. 95(13), 131110 (2009).

[Crossref]

M. F. Li, Y. R. Zhang, X. F. Liu, X. R. Yao, K. H. Luo, H. Fan, and L. A. Wu, “A double-threshold technique for fast time-correspondence imaging,” Appl. Phys. Lett. 103, 211119 (2013).

[Crossref]

P. Sen and S. Darabi, “Compressive dual photography,” Computer Graphics Forum 28(2), 609–618 (2009).

[Crossref]

N. B. Karahanoglu and H. Erdogan, “A* orthogonal matching pursuit: best-first search for compressed sensing signal recovery,” Digit. Sig. Process. 22(4), 555–568 (2012).

[Crossref]

J. Yang, Y. Zhang, and W. Yin, “A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data,” IEEE J. Sel. Top. Signal Processing 4(2), 288–297 (2010).

[Crossref]

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Proc. Mag. 25(2), 83–91 (2008).

[Crossref]

A. Said and W. Pearlman, “A new, fast, and efficient image codec based on set partitioning in hierarchical trees,” IEEE Trans. Circ. Syst. Video Technol. 6(3), 243–250 (1996).

[Crossref]

S. G. Chang, B. Yu, and M. Vetterli, “Adaptive wavelet thresholding for image denoising and compression,” IEEE Trans. Image Process. 9(9), 1532–1546 (2000).

[Crossref]

E. J. Candès, J. Romberg, and T. Tao, “Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,” IEEE Trans. Inf. Theory 52(2), 489–509 (2006).

[Crossref]

D. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006).

[Crossref]

S. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” IEEE Trans. Pattern Anal. 11(7), 674–693 (1989).

[Crossref]

J. Shapiro, “Embedded image coding using zerotrees of wavelet coefficients,” IEEE Trans. Signal Proces. 41(12), 3445–3462 (1993).

[Crossref]

D. Zhang, Y. H. Zhai, L. A. Wu, and X. H. Chen, “Correlated two-photon imaging with true thermal light,” Opt. Lett. 30(18), 2354–2356 (2005).

[Crossref]
[PubMed]

S. Li, X. R. Yao, W. K. Yu, L. A. Wu, and G. J. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38(12), 2144–2146 (2013).

[Crossref]
[PubMed]

W. L. Gong and S. S. Han, “Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints,” Phys. Lett. A 376(17), 1519–1522 (2012).

[Crossref]

B. I. Erkmen and J. H. Shapiro, “Unified theory of ghost imaging with Gaussian-state light,” Phys. Rev. A 77(4), 043809 (2008).

[Crossref]

J. H. Shapiro, “Computational ghost imaging,” Phys. Rev. A 78, 061802 (2008).

[Crossref]

Y. Bromberg, O. Katz, and Y. Silberberg, “Ghost imaging with a single detector,” Phys. Rev. A 79(5), 053840 (2009).

[Crossref]

D. V. Strekalov, A. V. Sergienko, D. N. Klyshko, and Y. H. Shih, “Observation of two-photon “ghost” interference and diffraction,” Phys. Rev. Lett. 74, 3600–3603 (1995).

[Crossref]
[PubMed]

A. Gatti, E. Brambilla, M. Bache, and L. A. Lugiato, “Ghost imaging with thermal light: comparing entanglement and classical correlation,” Phys. Rev. Lett. 93, 093602 (2004).

[Crossref]
[PubMed]

M. Aßmann and M. Bayer, “Compressive adaptive computational ghost imaging,” Sci. Rep. 3, 1545 (2013).

A. Averbuch, S. Dekel, and S. Deutsch, “Adaptive compressed image sensing using dictionaries,” SIAM J. Imaging Sci. 5(1), 57–89 (2012).

[Crossref]

S. S. Chen, D. L. Donoho, and M. A. Saunders, “Atomic decomposition by basis pursuit,” SIAM J. Sci. Comput. 20(1), 33–61 (1998).

[Crossref]

C. B. Li, “An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing,” Master Thesis, Rice University, (2010).

Texas Instruments, “DLP discovery 4100 chipset data sheet (Rev. A),” (2013), "http://www.ti.com/lit/er/dlpu008a/dlpu008a.pdf"" ”.

R. Berinde and P. Indyk, “Sequential sparse matching pursuit,” in Proc. 47th Annu. Allerton Conf. Commun. Control Comput., (2009), 36–43.

S. Mallat, A wavelet tour of signal processing, the sparse way (Elsevier, 2009), pp. 340–346.

J. Haupt, R. Nowak, and R. Castro, “Adaptive sensing for sparse signal recovery,” in Proceedings of the 2009 IEEE Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, (Marco Island, FL, Jan., 2009), 702–707.

E. J. Candès, “Compressive sampling,” in Proc. Int. Cong. Math, (European Mathematical Society, Madrid, Spain, 2006), 3, pp. 1433–1452.

V. Studer, J. Bobin, M. Chahid, H. Moussavi, E. J. Candès, and M. Dahan, “Compressive fluorescence microscopy for biological and hyperspectral imaging,” in Proceedings of the National Academy of Sciences, (2012), 109(26), E1679–E1687.

[Crossref]