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Volumn 4, Issue 9, 2017, Pages 1117-1125

Lensless computational imaging through deep learning

Author keywords

Computational imaging; Inverse problems; Neural networks; Pattern recognition; Phase retrieval

Indexed keywords

DIFFERENTIAL EQUATIONS; INVERSE PROBLEMS; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 85029856412     PISSN: 23342536     EISSN: None     Source Type: Journal    
DOI: 10.1364/OPTICA.4.001117     Document Type: Article
Times cited : (702)

References (47)
  • 2
    • 0002291365 scopus 로고
    • Generalization and network design strategies
    • Y. LeCun, “Generalization and network design strategies,” in Connectionism in Perspective (Elsevier, 1989), pp. 143–155.
    • (1989) Connectionism in Perspective , pp. 143-155
    • Lecun, Y.1
  • 6
    • 0016758101 scopus 로고
    • Cognitron: A self-organizing multilayered neural net-work
    • K. Fukushima, “Cognitron: a self-organizing multilayered neural net-work,” Biol. Cybernet. 20, 121–136 (1975).
    • (1975) Biol. Cybernet. , vol.20 , pp. 121-136
    • Fukushima, K.1
  • 8
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature 5323, 533–536 (1986).
    • (1986) Nature , vol.5323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 13
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature 521, 436–444 (2015).
    • (2015) Nature , vol.521 , pp. 436-444
    • Lecun, Y.1    Bengio, Y.2    Hinton, G.3
  • 15
    • 84906484697 scopus 로고    scopus 로고
    • Learning a deep convolutional network for image super-resolution
    • C. Dong, C. C. Loy, K. He, and X. Tang, “Learning a deep convolutional network for image super-resolution,” in European Conference on Computer Vision (Springer, 2014), pp. 184–199.
    • (2014) European Conference on Computer Vision , pp. 184-199
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 19
    • 0015327061 scopus 로고
    • A practical algorithm for the determination of the phase from image and diffraction plane pictures
    • R. Gerchberg and W. Saxton, “A practical algorithm for the determination of the phase from image and diffraction plane pictures,” Optik 35, 237–246 (1972).
    • (1972) Optik , vol.35 , pp. 237-246
    • Gerchberg, R.1    Saxton, W.2
  • 20
    • 0017985106 scopus 로고
    • Reconstruction of an object from the modulus of its Fourier transform
    • J. R. Fienup, “Reconstruction of an object from the modulus of its Fourier transform,” Opt. Lett. 3, 27–29 (1978).
    • (1978) Opt. Lett. , vol.3 , pp. 27-29
    • Fienup, J.R.1
  • 21
    • 0002425705 scopus 로고
    • Digital image formation from electronically detected holograms
    • J. W. Goodman and R. Lawrence, “Digital image formation from electronically detected holograms,” Appl. Phys. Lett. 11, 77–79 (1967).
    • (1967) Appl. Phys. Lett. , vol.11 , pp. 77-79
    • Goodman, J.W.1    Lawrence, R.2
  • 22
    • 0020849487 scopus 로고
    • Deterministic phase retrieval: A Green’s function solu-tion
    • M. R. Teague, “Deterministic phase retrieval: a Green’s function solu-tion,” J. Opt. Soc. Am. 73, 1434–1441 (1983).
    • (1983) J. Opt. Soc. Am. , vol.73 , pp. 1434-1441
    • Teague, M.R.1
  • 23
    • 0021375095 scopus 로고
    • Phase imaging by the transport equation of intensity
    • N. Streibl, “Phase imaging by the transport equation of intensity,” Opt. Commun. 49, 6–10 (1984).
    • (1984) Opt. Commun. , vol.49 , pp. 6-10
    • Streibl, N.1
  • 25
    • 0000418073 scopus 로고
    • On the stability of inverse problems
    • A. N. Tikhonov, “On the stability of inverse problems,” Dokl. Akad. Nauk SSSR 39, 195–198 (1943).
    • (1943) Dokl. Akad. Nauk SSSR , vol.39 , pp. 195-198
    • Tikhonov, A.N.1
  • 27
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sam-pling
    • E. J. Candès and M. B. Wakin, “An introduction to compressive sam-pling,” IEEE Signal Process. Mag. 25, 21–30 (2008).
    • (2008) IEEE Signal Process. Mag. , vol.25 , pp. 21-30
    • Candès, E.J.1    Wakin, M.B.2
  • 29
    • 0037418225 scopus 로고    scopus 로고
    • Optimally sparse representation in general (Nonorthogonal) dictionaries via l1 minimization
    • D. L. Donoho and M. Elad, “Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization,” Proc. Natl. Acad. Sci. USA 100, 2197–2202 (2003).
    • (2003) Proc. Natl. Acad. Sci. USA , vol.100 , pp. 2197-2202
    • Donoho, D.L.1    Elad, M.2
  • 30
    • 84859083930 scopus 로고    scopus 로고
    • Robust image deblurring with an inaccurate blur kernel
    • H. Ji and K. Wang, “Robust image deblurring with an inaccurate blur kernel,” IEEE Trans. Image Process. 21, 1624–1634 (2012).
    • (2012) IEEE Trans. Image Process. , vol.21 , pp. 1624-1634
    • Ji, H.1    Wang, K.2
  • 31
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J. J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities,” Proc. Natl. Acad. Sci. USA 79, 2554–2558 (1982).
    • (1982) Proc. Natl. Acad. Sci. USA , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 32
    • 84975551204 scopus 로고
    • Optical implementation of the Hopfield model for two-dimensional associative memory
    • J.-S. Jang, S.-W. Jung, S.-Y. Lee, and S.-Y. Shin, “Optical implementation of the Hopfield model for two-dimensional associative memory,” Opt. Lett. 13, 248–250 (1988).
    • (1988) Opt. Lett. , vol.13 , pp. 248-250
    • Jang, J.-S.1    Jung, S.-W.2    Lee, S.-Y.3    Shin, S.-Y.4
  • 33
    • 84977655531 scopus 로고    scopus 로고
    • Learning-based imaging through scattering media
    • R. Horisaki, R. Takagi, and J. Tanida, “Learning-based imaging through scattering media,” Opt. Express 24, 13738–13743 (2016).
    • (2016) Opt. Express , vol.24 , pp. 13738-13743
    • Horisaki, R.1    Takagi, R.2    Tanida, J.3
  • 34
    • 77749289153 scopus 로고    scopus 로고
    • Measuring the transmission matrix in optics: An approach to the study and control of light propagation in disordered media
    • S. Popoff, G. Lerosey, R. Carminati, M. Fink, A. Boccara, and S. Gigan, “Measuring the transmission matrix in optics: an approach to the study and control of light propagation in disordered media,” Phys. Rev. Lett. 104, 100601 (2010).
    • (2010) Phys. Rev. Lett. , vol.104 , pp. 100601
    • Popoff, S.1    Lerosey, G.2    Carminati, R.3    Fink, M.4    Boccara, A.5    Gigan, S.6
  • 38
    • 85023170573 scopus 로고    scopus 로고
    • Deep convolutional neural network for inverse problems in imaging
    • K. H. Jin, M. T. McCann, E. Froustey, and M. Unser, “Deep convolutional neural network for inverse problems in imaging,” IEEE Trans. Image Process. 26, 4509–4522 (2017).
    • (2017) IEEE Trans. Image Process. , vol.26 , pp. 4509-4522
    • Jin, K.H.1    McCann, M.T.2    Froustey, E.3    Unser, M.4
  • 43
    • 51849117118 scopus 로고    scopus 로고
    • Labeled faces in the wild: A database for studying face recognition in unconstrained environments
    • University of Massachusetts
    • G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller, “Labeled faces in the wild: a database for studying face recognition in unconstrained environments,” Technical Report (University of Massachusetts, 2007).
    • (2007) Technical Report
    • Huang, G.B.1    Ramesh, M.2    Berg, T.3    Learned-Miller, E.4
  • 45
    • 77956002520 scopus 로고    scopus 로고
    • Learning multiple layers of features from tiny images
    • University of Toronto
    • A. Krizhevsky and G. Hinton, “Learning multiple layers of features from tiny images,” Technical Report (University of Toronto, 2009).
    • (2009) Technical Report
    • Krizhevsky, A.1    Hinton, G.2
  • 46
    • 0042357566 scopus 로고    scopus 로고
    • “AT&T database of faces,” Technical Report (AT&T Laboratories Cambridge).
    • Technical Report
  • 47
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • M. D. Zeiler and R. Fergus, “Visualizing and understanding convolutional networks,” in European Conference on Computer Vision (Springer, 2014), pp. 818–833.
    • (2014) European Conference on Computer Vision , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.