R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

L. Liu, C. Guo, and Y. He, “Single exposure superresolution restoration for optical sparse aperture based on random convolution,” Opt. Eng. 56(7), 073102 (2017).

M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R. Baraniuk, “Flatcam: thin, bare-sensor cameras using coded aperture and computation,” IEEE Trans. Comp. Imag. 3(3), 384–397 (2017).

D. Marcos, T. Lasser, A. López, and A. Bourquard, “Compressed imaging by sparse random convolution,” Opt. Express 24(2), 1269–1290 (2016).

[PubMed]

Y. Sun, X. Sui, G. Gu, Y. Liu, and S. Xu, “Compressive super-resolution imaging based on scrambled block Hadamard ensemble,” IEEE Photonics J. 8(2), 1–8 (2016).

E. McLeod and A. Ozcan, “Unconventional methods of imaging: computational microscopy and compact implementations,” Rep. Prog. Phys. 79(7), 076001 (2016).

[PubMed]

J. P. Dumas, M. A. Lodhi, W. U. Bajwa, and M. C. Pierce, “Computational imaging with a highly parallel image-plane-coded architecture: challenges and solutions,” Opt. Express 24(6), 6145–6155 (2016).

[PubMed]

D. Thapa, K. Raahemifar, and V. Lakshminarayanan, “Less is more: compressive sensing in optics and image science,” J. Mod. Opt. 62(6), 415–429 (2015).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

M. J. DeWeert and B. P. Farm, “Lensless coded-aperture imaging with separable Doubly-Toeplitz masks,” Opt. Eng. 54(2), 023102 (2015).

S. Dong, P. Nanda, R. Shiradkar, K. Guo, and G. Zheng, “High-resolution fluorescence imaging via pattern-illuminated Fourier ptychography,” Opt. Express 22(17), 20856–20870 (2014).

[PubMed]

L. Tian, X. Li, K. Ramchandran, and L. Waller, “Multiplexed coded illumination for Fourier Ptychography with an LED array microscope,” Biomed. Opt. Express 5(7), 2376–2389 (2014).

[PubMed]

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

G. R. Arce, D. J. Brady, L. Carin, H. Arguello, and D. Kittle, “Compressive coded aperture spectral imaging: An introduction,” IEEE Signal Process. Mag. 31(1), 105–115 (2014).

A. F. Coskun and A. Ozcan, “Computational imaging, sensing and diagnostics for global health applications,” Curr. Opin. Biotechnol. 25, 8–16 (2014).

[PubMed]

A. Stern, “Optical compressive sensing: a new field benefiting from classical optical signal processing techniques,” Proc. SPIE 8833, 88330B (2013).

O. Cossairt, M. Gupta, and S. K. Nayar, “When does computational imaging improve performance?” IEEE Trans. Image Process. 22(2), 447–458 (2013).

[PubMed]

K. Marwah, G. Wetzstein, Y. Bando, and R. Raskar, “Compressive light field photography using overcomplete dictionaries and optimized projections,” ACM Trans. Graph. 32(4), 46 (2013).

J. Y. Park and M. B. Wakin, “A geometric approach to multi-view compressive imaging,” J. Adv. Sig. Proc. 37, 1–15 (2012).

H. Arguello, H. Rueda, and G. R. Arce, “Spatial super-resolution in code aperture spectral imaging,” Proc. SPIE 8365, 83650A (2012).

R. M. Willett, R. F. Marcia, and J. M. Nichols, “Compressed sensing for practical optical imaging systems: a tutorial,” Opt. Eng. 50(7), 072601 (2011).

M. F. Duarte and Y. C. Eldar, “Structured compressed sensing: From theory to applications,” IEEE Trans. Image Process. 59(9), 4053–4085 (2011).

Y. Rivenson, A. Stern, and B. Javidi, “Single exposure super-resolution compressive imaging by double phase encoding,” Opt. Express 18(14), 15094–15103 (2010).

[PubMed]

A. Bourquard, F. Aguet, and M. Unser, “Optical imaging using binary sensors,” Opt. Express 18(5), 4876–4888 (2010).

[PubMed]

J. Y. Zheng, R. M. Pasternack, and N. N. Boustany, “Optical scatter imaging with a digital micromirror device,” Opt. Express 17(22), 20401–20414 (2009).

[PubMed]

J. Romberg, “Compressive sensing by random convolution,” SIAM J. Imaging Sci. 2(4), 1098–1128 (2009).

J. Tang, B. E. Nett, and G. H. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54(19), 5781–5804 (2009).

[PubMed]

R. Voelkel and K. J. Weible, “Laser beam homogenizing: limitations and constraints,” Proc. SPIE 7102, 71020J (2008).

J. M. Bioucas-Dias and M. A. Figueiredo, “A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration,” IEEE Trans. Image Process. 16(12), 2992–3004 (2007).

[PubMed]

R. G. Baraniuk, “Compressive sensing,” IEEE Signal Process. Mag. 24(4), 118–121 (2007).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

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).

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

D. Dudley, W. Duncan, and J. Slaughter, “Emerging digital micromirror device (DMD) applications,” Proc. SPIE 4985, 14–25 (2003).

G. R. Arce, D. J. Brady, L. Carin, H. Arguello, and D. Kittle, “Compressive coded aperture spectral imaging: An introduction,” IEEE Signal Process. Mag. 31(1), 105–115 (2014).

H. Arguello, H. Rueda, and G. R. Arce, “Spatial super-resolution in code aperture spectral imaging,” Proc. SPIE 8365, 83650A (2012).

G. R. Arce, D. J. Brady, L. Carin, H. Arguello, and D. Kittle, “Compressive coded aperture spectral imaging: An introduction,” IEEE Signal Process. Mag. 31(1), 105–115 (2014).

H. Arguello, H. Rueda, and G. R. Arce, “Spatial super-resolution in code aperture spectral imaging,” Proc. SPIE 8365, 83650A (2012).

M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R. Baraniuk, “Flatcam: thin, bare-sensor cameras using coded aperture and computation,” IEEE Trans. Comp. Imag. 3(3), 384–397 (2017).

H. Chen, M. S. Asif, A. C. Sankaranarayanan, and A. Veeraraghavan, “FPA-CS: Focal plane array-based compressive imaging in short-wave infrared,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE 2015), pp. 2358–2366.

M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R. Baraniuk, “Flatcam: thin, bare-sensor cameras using coded aperture and computation,” IEEE Trans. Comp. Imag. 3(3), 384–397 (2017).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

K. Marwah, G. Wetzstein, Y. Bando, and R. Raskar, “Compressive light field photography using overcomplete dictionaries and optimized projections,” ACM Trans. Graph. 32(4), 46 (2013).

M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R. Baraniuk, “Flatcam: thin, bare-sensor cameras using coded aperture and computation,” IEEE Trans. Comp. Imag. 3(3), 384–397 (2017).

R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

R. G. Baraniuk, “Compressive sensing,” IEEE Signal Process. Mag. 24(4), 118–121 (2007).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

J. M. Bioucas-Dias and M. A. Figueiredo, “A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration,” IEEE Trans. Image Process. 16(12), 2992–3004 (2007).

[PubMed]

D. Marcos, T. Lasser, A. López, and A. Bourquard, “Compressed imaging by sparse random convolution,” Opt. Express 24(2), 1269–1290 (2016).

[PubMed]

A. Bourquard, F. Aguet, and M. Unser, “Optical imaging using binary sensors,” Opt. Express 18(5), 4876–4888 (2010).

[PubMed]

G. R. Arce, D. J. Brady, L. Carin, H. Arguello, and D. Kittle, “Compressive coded aperture spectral imaging: An introduction,” IEEE Signal Process. Mag. 31(1), 105–115 (2014).

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).

G. R. Arce, D. J. Brady, L. Carin, H. Arguello, and D. Kittle, “Compressive coded aperture spectral imaging: An introduction,” IEEE Signal Process. Mag. 31(1), 105–115 (2014).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

J. Tang, B. E. Nett, and G. H. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54(19), 5781–5804 (2009).

[PubMed]

H. Chen, M. S. Asif, A. C. Sankaranarayanan, and A. Veeraraghavan, “FPA-CS: Focal plane array-based compressive imaging in short-wave infrared,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE 2015), pp. 2358–2366.

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

A. F. Coskun and A. Ozcan, “Computational imaging, sensing and diagnostics for global health applications,” Curr. Opin. Biotechnol. 25, 8–16 (2014).

[PubMed]

O. Cossairt, M. Gupta, and S. K. Nayar, “When does computational imaging improve performance?” IEEE Trans. Image Process. 22(2), 447–458 (2013).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

M. J. DeWeert and B. P. Farm, “Lensless coded-aperture imaging with separable Doubly-Toeplitz masks,” Opt. Eng. 54(2), 023102 (2015).

R. Gu and A. Dogandžić, “A fast proximal gradient algorithm for reconstructing nonnegative signals with sparse transform coefficients,” in Proceedings of IEEE Asilomar Conference on Signals, Systems and Computers (IEEE, 2014), pp. 1662–1667.

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

M. F. Duarte and Y. C. Eldar, “Structured compressed sensing: From theory to applications,” IEEE Trans. Image Process. 59(9), 4053–4085 (2011).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

D. Dudley, W. Duncan, and J. Slaughter, “Emerging digital micromirror device (DMD) applications,” Proc. SPIE 4985, 14–25 (2003).

D. Dudley, W. Duncan, and J. Slaughter, “Emerging digital micromirror device (DMD) applications,” Proc. SPIE 4985, 14–25 (2003).

M. F. Duarte and Y. C. Eldar, “Structured compressed sensing: From theory to applications,” IEEE Trans. Image Process. 59(9), 4053–4085 (2011).

M. J. DeWeert and B. P. Farm, “Lensless coded-aperture imaging with separable Doubly-Toeplitz masks,” Opt. Eng. 54(2), 023102 (2015).

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

J. M. Bioucas-Dias and M. A. Figueiredo, “A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration,” IEEE Trans. Image Process. 16(12), 2992–3004 (2007).

[PubMed]

M. Kamal, M. Golbabaee, and P. Vandergheynst, “Light field compressive sensing in camera arrays,” in Proceedings of IEEE ICASSP (IEEE, 2012), pp. 5413–5416.

R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

Y. Sun, X. Sui, G. Gu, Y. Liu, and S. Xu, “Compressive super-resolution imaging based on scrambled block Hadamard ensemble,” IEEE Photonics J. 8(2), 1–8 (2016).

R. Gu and A. Dogandžić, “A fast proximal gradient algorithm for reconstructing nonnegative signals with sparse transform coefficients,” in Proceedings of IEEE Asilomar Conference on Signals, Systems and Computers (IEEE, 2014), pp. 1662–1667.

L. Liu, C. Guo, and Y. He, “Single exposure superresolution restoration for optical sparse aperture based on random convolution,” Opt. Eng. 56(7), 073102 (2017).

O. Cossairt, M. Gupta, and S. K. Nayar, “When does computational imaging improve performance?” IEEE Trans. Image Process. 22(2), 447–458 (2013).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

L. Liu, C. Guo, and Y. He, “Single exposure superresolution restoration for optical sparse aperture based on random convolution,” Opt. Eng. 56(7), 073102 (2017).

G. Huang, H. Jiang, K. Matthews, and P. Wilford, “Lensless imaging by compressive sensing,” in Proceedings of IEEE ICIP (IEEE, 2013), pp. 2101–2105.

G. Huang, H. Jiang, K. Matthews, and P. Wilford, “Lensless imaging by compressive sensing,” in Proceedings of IEEE ICIP (IEEE, 2013), pp. 2101–2105.

M. Kamal, M. Golbabaee, and P. Vandergheynst, “Light field compressive sensing in camera arrays,” in Proceedings of IEEE ICASSP (IEEE, 2012), pp. 5413–5416.

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

G. R. Arce, D. J. Brady, L. Carin, H. Arguello, and D. Kittle, “Compressive coded aperture spectral imaging: An introduction,” IEEE Signal Process. Mag. 31(1), 105–115 (2014).

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

D. Thapa, K. Raahemifar, and V. Lakshminarayanan, “Less is more: compressive sensing in optics and image science,” J. Mod. Opt. 62(6), 415–429 (2015).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

L. Liu, C. Guo, and Y. He, “Single exposure superresolution restoration for optical sparse aperture based on random convolution,” Opt. Eng. 56(7), 073102 (2017).

Y. Sun, X. Sui, G. Gu, Y. Liu, and S. Xu, “Compressive super-resolution imaging based on scrambled block Hadamard ensemble,” IEEE Photonics J. 8(2), 1–8 (2016).

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

R. M. Willett, R. F. Marcia, and J. M. Nichols, “Compressed sensing for practical optical imaging systems: a tutorial,” Opt. Eng. 50(7), 072601 (2011).

K. Marwah, G. Wetzstein, Y. Bando, and R. Raskar, “Compressive light field photography using overcomplete dictionaries and optimized projections,” ACM Trans. Graph. 32(4), 46 (2013).

G. Huang, H. Jiang, K. Matthews, and P. Wilford, “Lensless imaging by compressive sensing,” in Proceedings of IEEE ICIP (IEEE, 2013), pp. 2101–2105.

E. McLeod and A. Ozcan, “Unconventional methods of imaging: computational microscopy and compact implementations,” Rep. Prog. Phys. 79(7), 076001 (2016).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

O. Cossairt, M. Gupta, and S. K. Nayar, “When does computational imaging improve performance?” IEEE Trans. Image Process. 22(2), 447–458 (2013).

[PubMed]

J. Tang, B. E. Nett, and G. H. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54(19), 5781–5804 (2009).

[PubMed]

R. M. Willett, R. F. Marcia, and J. M. Nichols, “Compressed sensing for practical optical imaging systems: a tutorial,” Opt. Eng. 50(7), 072601 (2011).

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

E. McLeod and A. Ozcan, “Unconventional methods of imaging: computational microscopy and compact implementations,” Rep. Prog. Phys. 79(7), 076001 (2016).

[PubMed]

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

A. F. Coskun and A. Ozcan, “Computational imaging, sensing and diagnostics for global health applications,” Curr. Opin. Biotechnol. 25, 8–16 (2014).

[PubMed]

J. Y. Park and M. B. Wakin, “A geometric approach to multi-view compressive imaging,” J. Adv. Sig. Proc. 37, 1–15 (2012).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

D. Thapa, K. Raahemifar, and V. Lakshminarayanan, “Less is more: compressive sensing in optics and image science,” J. Mod. Opt. 62(6), 415–429 (2015).

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

K. Marwah, G. Wetzstein, Y. Bando, and R. Raskar, “Compressive light field photography using overcomplete dictionaries and optimized projections,” ACM Trans. Graph. 32(4), 46 (2013).

J. Romberg, “Compressive sensing by random convolution,” SIAM J. Imaging Sci. 2(4), 1098–1128 (2009).

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).

H. Arguello, H. Rueda, and G. R. Arce, “Spatial super-resolution in code aperture spectral imaging,” Proc. SPIE 8365, 83650A (2012).

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R. Baraniuk, “Flatcam: thin, bare-sensor cameras using coded aperture and computation,” IEEE Trans. Comp. Imag. 3(3), 384–397 (2017).

R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

H. Chen, M. S. Asif, A. C. Sankaranarayanan, and A. Veeraraghavan, “FPA-CS: Focal plane array-based compressive imaging in short-wave infrared,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE 2015), pp. 2358–2366.

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

D. Dudley, W. Duncan, and J. Slaughter, “Emerging digital micromirror device (DMD) applications,” Proc. SPIE 4985, 14–25 (2003).

R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

Y. Sun, X. Sui, G. Gu, Y. Liu, and S. Xu, “Compressive super-resolution imaging based on scrambled block Hadamard ensemble,” IEEE Photonics J. 8(2), 1–8 (2016).

Y. Sun, X. Sui, G. Gu, Y. Liu, and S. Xu, “Compressive super-resolution imaging based on scrambled block Hadamard ensemble,” IEEE Photonics J. 8(2), 1–8 (2016).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

J. Tang, B. E. Nett, and G. H. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54(19), 5781–5804 (2009).

[PubMed]

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).

D. Thapa, K. Raahemifar, and V. Lakshminarayanan, “Less is more: compressive sensing in optics and image science,” J. Mod. Opt. 62(6), 415–429 (2015).

M. Kamal, M. Golbabaee, and P. Vandergheynst, “Light field compressive sensing in camera arrays,” in Proceedings of IEEE ICASSP (IEEE, 2012), pp. 5413–5416.

R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R. Baraniuk, “Flatcam: thin, bare-sensor cameras using coded aperture and computation,” IEEE Trans. Comp. Imag. 3(3), 384–397 (2017).

H. Chen, M. S. Asif, A. C. Sankaranarayanan, and A. Veeraraghavan, “FPA-CS: Focal plane array-based compressive imaging in short-wave infrared,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE 2015), pp. 2358–2366.

R. Voelkel and K. J. Weible, “Laser beam homogenizing: limitations and constraints,” Proc. SPIE 7102, 71020J (2008).

R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

J. Y. Park and M. B. Wakin, “A geometric approach to multi-view compressive imaging,” J. Adv. Sig. Proc. 37, 1–15 (2012).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

R. Voelkel and K. J. Weible, “Laser beam homogenizing: limitations and constraints,” Proc. SPIE 7102, 71020J (2008).

K. Marwah, G. Wetzstein, Y. Bando, and R. Raskar, “Compressive light field photography using overcomplete dictionaries and optimized projections,” ACM Trans. Graph. 32(4), 46 (2013).

G. Huang, H. Jiang, K. Matthews, and P. Wilford, “Lensless imaging by compressive sensing,” in Proceedings of IEEE ICIP (IEEE, 2013), pp. 2101–2105.

R. M. Willett, R. F. Marcia, and J. M. Nichols, “Compressed sensing for practical optical imaging systems: a tutorial,” Opt. Eng. 50(7), 072601 (2011).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

Y. Sun, X. Sui, G. Gu, Y. Liu, and S. Xu, “Compressive super-resolution imaging based on scrambled block Hadamard ensemble,” IEEE Photonics J. 8(2), 1–8 (2016).

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

K. Marwah, G. Wetzstein, Y. Bando, and R. Raskar, “Compressive light field photography using overcomplete dictionaries and optimized projections,” ACM Trans. Graph. 32(4), 46 (2013).

A. F. Coskun and A. Ozcan, “Computational imaging, sensing and diagnostics for global health applications,” Curr. Opin. Biotechnol. 25, 8–16 (2014).

[PubMed]

Y. Sun, X. Sui, G. Gu, Y. Liu, and S. Xu, “Compressive super-resolution imaging based on scrambled block Hadamard ensemble,” IEEE Photonics J. 8(2), 1–8 (2016).

G. R. Arce, D. J. Brady, L. Carin, H. Arguello, and D. Kittle, “Compressive coded aperture spectral imaging: An introduction,” IEEE Signal Process. Mag. 31(1), 105–115 (2014).

R. G. Baraniuk, T. Goldstein, A. C. Sankaranarayanan, C. Studer, A. Veeraraghavan, and M. B. Wakin, “Compressive video sensing: algorithms, architectures, and applications,” IEEE Signal Process. Mag. 34(1), 52–66 (2017).

R. G. Baraniuk, “Compressive sensing,” IEEE Signal Process. Mag. 24(4), 118–121 (2007).

M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R. Baraniuk, “Flatcam: thin, bare-sensor cameras using coded aperture and computation,” IEEE Trans. Comp. Imag. 3(3), 384–397 (2017).

O. Cossairt, M. Gupta, and S. K. Nayar, “When does computational imaging improve performance?” IEEE Trans. Image Process. 22(2), 447–458 (2013).

[PubMed]

M. F. Duarte and Y. C. Eldar, “Structured compressed sensing: From theory to applications,” IEEE Trans. Image Process. 59(9), 4053–4085 (2011).

J. M. Bioucas-Dias and M. A. Figueiredo, “A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration,” IEEE Trans. Image Process. 16(12), 2992–3004 (2007).

[PubMed]

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).

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

J. Y. Park and M. B. Wakin, “A geometric approach to multi-view compressive imaging,” J. Adv. Sig. Proc. 37, 1–15 (2012).

D. Thapa, K. Raahemifar, and V. Lakshminarayanan, “Less is more: compressive sensing in optics and image science,” J. Mod. Opt. 62(6), 415–429 (2015).

G. Komis, M. Mistrik, O. Šamajová, M. Ovečka, J. Bartek, and J. Šamaj, “Superresolution live imaging of plant cells using structured illumination microscopy,” Nat. Protoc. 10(8), 1248–1263 (2015).

[PubMed]

L. Liu, C. Guo, and Y. He, “Single exposure superresolution restoration for optical sparse aperture based on random convolution,” Opt. Eng. 56(7), 073102 (2017).

R. M. Willett, R. F. Marcia, and J. M. Nichols, “Compressed sensing for practical optical imaging systems: a tutorial,” Opt. Eng. 50(7), 072601 (2011).

M. J. DeWeert and B. P. Farm, “Lensless coded-aperture imaging with separable Doubly-Toeplitz masks,” Opt. Eng. 54(2), 023102 (2015).

S. Dong, P. Nanda, R. Shiradkar, K. Guo, and G. Zheng, “High-resolution fluorescence imaging via pattern-illuminated Fourier ptychography,” Opt. Express 22(17), 20856–20870 (2014).

[PubMed]

A. Bourquard, F. Aguet, and M. Unser, “Optical imaging using binary sensors,” Opt. Express 18(5), 4876–4888 (2010).

[PubMed]

J. Y. Zheng, R. M. Pasternack, and N. N. Boustany, “Optical scatter imaging with a digital micromirror device,” Opt. Express 17(22), 20401–20414 (2009).

[PubMed]

J. P. Dumas, M. A. Lodhi, W. U. Bajwa, and M. C. Pierce, “Computational imaging with a highly parallel image-plane-coded architecture: challenges and solutions,” Opt. Express 24(6), 6145–6155 (2016).

[PubMed]

Y. Rivenson, A. Stern, and B. Javidi, “Single exposure super-resolution compressive imaging by double phase encoding,” Opt. Express 18(14), 15094–15103 (2010).

[PubMed]

D. Marcos, T. Lasser, A. López, and A. Bourquard, “Compressed imaging by sparse random convolution,” Opt. Express 24(2), 1269–1290 (2016).

[PubMed]

J. Tang, B. E. Nett, and G. H. Chen, “Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms,” Phys. Med. Biol. 54(19), 5781–5804 (2009).

[PubMed]

R. Voelkel and K. J. Weible, “Laser beam homogenizing: limitations and constraints,” Proc. SPIE 7102, 71020J (2008).

D. Dudley, W. Duncan, and J. Slaughter, “Emerging digital micromirror device (DMD) applications,” Proc. SPIE 4985, 14–25 (2003).

A. Stern, “Optical compressive sensing: a new field benefiting from classical optical signal processing techniques,” Proc. SPIE 8833, 88330B (2013).

H. Arguello, H. Rueda, and G. R. Arce, “Spatial super-resolution in code aperture spectral imaging,” Proc. SPIE 8365, 83650A (2012).

R. H. Shepard, C. Fernandez-Cull, R. Raskar, B. Shi, C. Barsi, and H. Zhao, “Optical design and characterization of an advanced computational imaging system,” Proc. SPIE 9216, 92160A (2014).

D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, “A new compressive imaging camera architecture using optical-domain compression,” Proc. SPIE 6065, 606509 (2006).

E. McLeod and A. Ozcan, “Unconventional methods of imaging: computational microscopy and compact implementations,” Rep. Prog. Phys. 79(7), 076001 (2016).

[PubMed]

A. Greenbaum, Y. Zhang, A. Feizi, P. L. Chung, W. Luo, S. R. Kandukuri, and A. Ozcan, “Wide-field computational imaging of pathology slides using lens-free on-chip microscopy,” Sci. Transl. Med. 6(267), 267ra175 (2014).

[PubMed]

D. Li, L. Shao, B. C. Chen, X. Zhang, M. Zhang, B. Moses, D. E. Milkie, J. R. Beach, J. A. Hammer, M. Pasham, T. Kirchhausen, M. A. Baird, M. W. Davidson, P. Xu, and E. Betzig, “Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics,” Science 349(6251), aab3500 (2015).

[PubMed]

J. Romberg, “Compressive sensing by random convolution,” SIAM J. Imaging Sci. 2(4), 1098–1128 (2009).

H. Chen, M. S. Asif, A. C. Sankaranarayanan, and A. Veeraraghavan, “FPA-CS: Focal plane array-based compressive imaging in short-wave infrared,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE 2015), pp. 2358–2366.

M. Kamal, M. Golbabaee, and P. Vandergheynst, “Light field compressive sensing in camera arrays,” in Proceedings of IEEE ICASSP (IEEE, 2012), pp. 5413–5416.

G. Huang, H. Jiang, K. Matthews, and P. Wilford, “Lensless imaging by compressive sensing,” in Proceedings of IEEE ICIP (IEEE, 2013), pp. 2101–2105.

B. Adcock, A. C. Hansen, C. Poon, and B. Roman, “Breaking the coherence barrier: A new theory for compressed sensing,” Forum of Mathematics, Sigma, vol. 5 (Cambridge University Press, 2017).

T. Tsai, P. Llull, X. Yuan, L. Carin, and D. J. Brady, “Coded aperture compressive spectral-temporal imaging,” in Computational Optical Sensing and Imaging (Optical Society of America, 2015), paper CTh2E.5.

J. W. Goodman, Introduction to Fourier optics (Roberts and Company Publishers, 2005).

A. Stern, “Optical compressive imaging and sensing: A decade retrospective,” in Information Optics (WIO),201615th Workshop (IEEE, 2016), pp. 1–3.

Y. C. Eldar and G. Kutyniok, eds., Compressed Sensing: Theory and Applications (Cambridge University Press, 2012).

D. J. Brady, Optical Imaging and Spectroscopy (John Wiley & Sons, 2009).

V. Boominathan, K. Mitra, and A. Veeraraghavan, “Improving resolution and depth-of-field of light field cameras using a hybrid imaging system,” in Proceedings of IEEE ICIP (IEEE, 2014), pp. 1–10 (2014).

R. Gu and A. Dogandžić, “A fast proximal gradient algorithm for reconstructing nonnegative signals with sparse transform coefficients,” in Proceedings of IEEE Asilomar Conference on Signals, Systems and Computers (IEEE, 2014), pp. 1662–1667.

H. Zhang and Y. Liang, “Reshaped Wirtinger flow for solving quadratic system of equations,” in Advances in Neural Information Processing Systems 29 (NIPS, 2016), pp. 2622–2630.