CLC number: TP37
On-line Access: 2017-10-25
Received: 2017-03-28
Revision Accepted: 2017-08-16
Crosschecked: 2017-09-26
Cited: 1
Clicked: 5995
Xue-mei Hu, Jia-min Wu, Jin-li Suo, Qiong-hai Dai. Emerging theories and technologies on computational imaging[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(9): 1207-1221.
@article{title="Emerging theories and technologies on computational imaging",
author="Xue-mei Hu, Jia-min Wu, Jin-li Suo, Qiong-hai Dai",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="9",
pages="1207-1221",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700211"
}
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%V 18
%N 9
%P 1207-1221
%@ 2095-9184
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700211
TY - JOUR
T1 - Emerging theories and technologies on computational imaging
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A1 - Qiong-hai Dai
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VL - 18
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700211
Abstract: computational imaging describes the whole imaging process from the perspective of light transport and information transmission, features traditional optical computing capabilities, and assists in breaking through the limitations of visual information recording. Progress in computational imaging promotes the development of diverse basic and applied disciplines. In this review, we provide an overview of the fundamental principles and methods in computational imaging, the history of this field, and the important roles that it plays in the development of science. We review the most recent and promising advances in computational imaging, from the perspective of different dimensions of visual signals, including spatial dimension, temporal dimension, angular dimension, spectral dimension, and phase. We also discuss some topics worth studying for future developments in computational imaging.
[1]Assion, A., Baumert, T., Bergt, M., et al., 1998. Control of chemical reactions by feedback-optimized phase-shaped femtosecond laser pulses. Science, 282(5390):919-922.
[2]Backman, V., Wallace, M.B., Perelman, L., et al., 2000. Detection of preinvasive cancer cells. Nature, 406(6791): 35-36.
[3]Bao, J., Bawendi, M.G., 2015. A colloidal quantum dot spectrometer. Nature, 523(7558):67-70.
[4]Bifano, T., 2011. Adaptive imaging: MEMS deformable mirrors. Nat. Photon., 5(1):21-23.
[5]Bina, M., Magatti, D., Molteni, M., et al., 2013. Backscattering differential ghost imaging in turbid media. Phys. Rev. Lett., 110(8), Article 083901.
[6]Brady, D., Gehm, M., Stack, R., et al., 2012. Multiscale gigapixel photography. Nature, 486(7403):386-389.
[7]Brenner, D.J., Hall, E.J., 2007. Computed tomography—an increasing source of radiation exposure. New Engl. J. Med., 357:2277-2284.
[8]Candès, E.J., Romberg, J., Tao, T., 2006. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inform. Theory, 52(2):489-509.
[9]Chaigne, T., Katz, O., Boccara, A.C., et al., 2014. Controlling light in scattering media non-invasively using the photoacoustic transmission matrix. Nat. Photon., 8(1):58-64.
[10]Chakrabarti, A., Zickler, T., 2011. Statistics of real-world hyperspectral images. IEEE Conf. on Computer Vision and Pattern Recognition, p.193-200.
[11]Chao, T.H., Zhou, H., Xia, X., et al., 2005. Near IR electro-optic imaging Fourier transform spectrometer. Proc. Optical Pattern Recognition, p.163-172.
[12]Charles, A.S., Olshausen, B.A., Rozell, C.J., 2011. Learning sparse codes for hyperspectral imagery. IEEE J. Sel. Topics Signal Process., 5 (5):963-978.
[13]Choi, W., Fang-Yen, C., Badizadegan, K.R., et al., 2007. Tomographic phase microscopy. Nat. Meth., 4(9):717-719.
[14]Cotte, Y., Toy, F., Jourdain, P., et al., 2013. Marker-free phase nanoscopy. Nat. Photon., 7(2):113-117.
[15]Cuche, E., Bevilacqua, F., Depeursinge, C., 1999. Digital holography for quantitative phase-contrast imaging. Opt. Lett., 24(5):291-293.
[16]Delalieux, S., Auwerkerken, A., Verstraeten, W.W., et al., 2009. Hyperspectral reflectance and fluorescence imaging to detect scab induced stress in apple leaves. Remote Sens., 1(4):858-874.
[17]Descour, M., Dereniak, E., 1995. Computed-tomography imaging spectrometer: experimental calibration and reconstruction results. Appl. Opt., 34(22):4817-4826.
[18]Diaspro, A., Chirico, G., Collini, M., 2005. Two-photon fluorescence excitation and related techniques in biological microscopy. Q. Rev. Biophys., 38(02):97-166.
[19]Ding, W., Wang, Y., Chen, H., et al., 2014. Plasmonic nanocavity organic light-emitting diode with significantly enhanced light extraction, contrast, viewing angle, brightness, and low-glare. Adv. Funct. Mater., 24(40):6329-6339.
[20]Ferguson, R., Phillips, W., 1967. High-resolution nuclear magnetic resonance spectroscopy. Science, 157(3786): 257-267.
[21]Fienup, J.R., 1982. Phase retrieval algorithms: a comparison. Appl. Opt., 21(15):2758-2769.
[22]Fienup, J.R., 2013. Phase retrieval algorithms: a personal tour [invited]. Appl. Opt., 52(1):45-56.
[23]Frenkel, K.A., 2010. Panning for science. Science, 330(6005):748-749.
[24]Gatti, A., Brambilla, E., Bache, M., et al., 2004. Ghost imaging with thermal light: comparing entanglement and classical correlation. Phys. Rev. Lett., 93(9), Article 093602.
[25]Gebbie, H., 1961. Molecular emission spectroscopy from 2μ to 12μ by a michelson interferometer. Nature, 191:264-265.
[26]Goda, K., Tsia, K., Jalali, B., 2009. Serial time-encoded amplified imaging for real-time observation of fast dynamic phenomena. Nature, 458(7242):1145-1149.
[27]Greenbaum, A., Luo, W., Su, T.W., et al., 2012. Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy. Nat. Meth., 9(9):889-895.
[28]Gustafsson, M.G., 2005. Nonlinear structured-illumination microscopy: wide-field fluorescence imaging with theoretically unlimited resolution. PNAS, 102(37):13081-13086.
[29]Heide, F., Hullin, M.B., Gregson, J., et al., 2013. Low-budget transient imaging using photonic mixer devices. ACM Trans. Graph., 32(4), Article 45.
[30]Hein, B., Willig, K.I., Hell, S.W., 2008. Stimulated emission depletion (STED) nanoscopy of a fluorescent protein-labeled organelle inside a living cell. PNAS, 105(38):14271-14276.
[31]Hell, S.W., Wichmann, J., 1994. Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy. Opt. Lett., 19(11):780-782.
[32]Helmchen, F., Denk, W., 2005. Deep tissue two-photon microscopy. Nat. Meth., 2(12):932-940.
[33]Hess, S.T., Girirajan, T.P., Mason, M.D., 2006. Ultra-high resolution imaging by fluorescence photoactivation localization microscopy. Biophys. J., 91(11):4258-4272.
[34]Horton, N.G., Wang, K., Kobat, D., et al., 2013. In vivo three-photon microscopy of subcortical structures within an intact mouse brain. Nat. Photon., 7(3):205-209.
[35]Howard, S.S., Straub, A., Horton, N.G., et al., 2013. Frequency-multiplexed In vivo multiphoton phosphorescence lifetime microscopy. Nat. Photon., 7(1):33-37.
[36]Jahr, W., Schmid, B., Schmied, C., et al., 2015. Hyperspectral light sheet microscopy. Nat. Commun., 6, Article 7990.
[37]Ji, N., Milkie, D.E., Betzig, E., 2010. Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues. Nat. Meth., 7(2):141-147.
[38]Kester, R.T., Bedard, N., Gao, L., et al., 2011. Real-time snapshot hyperspectral imaging endoscope. J. Biomed. Opt., 16(5), Article 056005.
[39]Kim, T., Zhou, R., Mir, M., et al., 2014. White-light diffraction tomography of unlabelled live cells. Nat. Photon., 8(3):256-263.
[40]Levoy, M., Hanrahan, P., 1996. Light field rendering. Proc. 23rd Annual Conf. on Computer Graphics and Interactive Techniques, p.31-42.
[41]Levoy, M., Ng, R., Adams, A., et al., 2006. Light field microscopy. ACM Trans. Graph., 25(3):924-934.
[42]Lin, X., Liu, Y., Wu, J., et al., 2014. Spatial-spectral encoded compressive hyperspectral imaging. ACM Trans. Graph., 33(6), Article 233.
[43]Lin, X., Wu, J., Zheng, G., et al., 2015. Camera array based light field microscopy. Biomed. Opt. Expr., 6(9):3179-3189.
[44]Ma, C., Cao, X., Tong, X., et al., 2014. Acquisition of high spatial and spectral resolution video with a hybrid camera system. Int. J. Comput. Vis., 110(2):141-155.
[45]Manley, S., Gillette, J.M., Patterson, G.H., et al., 2008. High-density mapping of single-molecule trajectories with photoactivated localization microscopy. Nat. Meth., 5(2):155-157.
[46]Marks, D.L., Son, H.S., Kim, J., et al., 2012. Engineering a gigapixel monocentric multiscale camera. Opt. Eng., 51(8), Article 083202.
[47]Morris, P.A., Aspden, R.S., Bell, J.E., et al., 2015. Imaging with a small number of photons. Nat. Commun., 6, Article 5913.
[48]Nakagawa, K., Iwasaki, A., Oishi, Y., et al., 2014. Sequentially timed all-optical mapping photography (STAMP). Nat. Photon., 8(9):695-700.
[49]Neifeld, M.A., Shankar, P., 2003. Feature-specific imaging. Appl. Opt., 42(17):3379-3389.
[50]Ng, R., Levoy, M., Brédif, M., et al., 2005. Light field photography with a hand-held plenoptic camera. Comput. Sci. Techn. Rep., 2(11):1-11.
[51]Orth, A., Tomaszewski, M.J., Ghosh, R.N., et al., 2015. Gigapixel multispectral microscopy. Optica, 2(7):654-662.
[52]Pal, H., Neifeld, M., 2003. Multispectral principal component imaging. Opt. Expr., 11(18):2118-2125.
[53]Popescu, G., Deflores, L.P., Vaughan, J.C., et al., 2004. Fourier phase microscopy for investigation of biological structures and dynamics. Opt. Lett., 29(21):2503-2505.
[54]Prevedel, R., Yoon, Y.G., Hoffmann, M., et al., 2014. Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy. Nat. Meth., 11(7):727-730.
[55]Rust, M.J., Bates, M., Zhuang, X., 2006. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM). Nat. Meth., 3(10):793-796.
[56]Ryle, M., 1972. The 5-km radio telescope at Cambridge. Nature, 239:435-438.
[57]Schermelleh, L., Heintzmann, R., Leonhardt, H., 2010. A guide to super-resolution fluorescence microscopy. J. Cell Biol., 190(2):165-175.
[58]Stoklasa, B., Motka, L., Rehacek, J., et al., 2014. Wavefront sensing reveals optical coherence. Nat. Commun., 5, Article 3275.
[59]Strack, R., 2016. Highly multiplexed imaging. Nat. Meth., 13(1), Article 35.
[60]Suo, J., Bian, L., Chen, F., et al., 2014. Bispectral coding: compressive and high-quality acquisition of fluorescence and reflectance. Opt. Expr., 22(2):1697-1712.
[61]Teague, M.R., 1983. Deterministic phase retrieval: a green’s function solution. JOSA, 73(11):1434-1441.
[62]van Tilbeurgh, H., Egloff, M., Martinez, C., et al., 1993. Interfacial activation of the lipase-procolipase complex by mixed micelles revealed by X-ray crystallography. Nature, 362(6423):814-820.
[63]Vellekoop, I., Lagendijk, A., Mosk, A., 2010. Exploiting disorder for perfect focusing. Nat. Photon., 4(5):320-322.
[64]Velten, A., Willwacher, T., Gupta, O., et al., 2012. Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging. Nat. Commun., 3, Article 745.
[65]Velten, A., Wu, D., Jarabo, A., et al., 2013. Femto-photography: capturing and visualizing the propagation of light. ACM Trans. Graph., 32(4), Article 44.
[66]Waller, L., Kou, S.S., Sheppard, C.J., et al., 2010a. Phase from chromatic aberrations. Opt. Expr., 18(22):22817-22825.
[67]Waller, L., Tian, L., Barbastathis, G., 2010b. Transport of intensity phase-amplitude imaging with higher order intensity derivatives. Opt. Expr., 18(12):12552-12561.
[68]Waller, L., Situ, G., Fleischer, J.W., 2012. Phase-space measurement and coherence synthesis of optical beams. Nat. Photon., 6(7):474-479.
[69]Wang, L.V., Hu, S., 2012. Photoacoustic tomography: in vivo imaging from organelles to organs. Science, 335(6075):1458-1462.
[70]Wilburn, B., Joshi, N., Vaish, V., et al., 2004. High-speed videography using a dense camera array. Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, p.294-301.
[71]Willett, R., Gehm, M.E., Brady, D.J., 2007. Multiscale reconstruction for computational spectral imaging. Proc. Electronic Imaging, Article 64980L.
[72]Wong, G., 2009. Snapshot hyperspectral imaging and practical applications. J. Phys., 178(1), Article 012048.
[73]Zernike, F., 1955. How I discovered phase contrast. Science, 121(3141):345-349.
[74]Zheng, G., Horstmeyer, R., Yang, C., 2013. Wide-field, high-resolution Fourier ptychographic microscopy. Nat. Photon., 7(9):739-745.
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