[1] [1] Ditchburn RW. Information and control in the visual system. Nature. 1963;198:630.10.1038/198630a0

[2] [2] Brady DJ, et al. Multiscale gigapixel photography. Nature. 2012;486:386–9.10.1038/nature11150

[3] [3] Brady DJ, et al. Characterization of the AWARE 40 wide-field-of-view visible imager. Optica. 2015;2(12):1086.10.1364/OPTICA.2.001086

[4] [4] Brady DJ, et al. Parallel cameras Optica. 2018;5(2):127–37.

[5] [5] Fan JT, et al. Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution. Nat Photonics. 2019;13:809–16.10.1038/s41566-019-0474-7

[6] [6] Strogatz SH. Exploring complex networks. Nature. 2001;410:268–76.10.1038/35065725

[7] [7] Kittle DS, et al. A testbed for wide-field, high-resolution, gigapixel-class cameras. Rev Sci Instrum. 2013;84: 053107.10.1063/1.4804199

[8] [8] Park HJ, et al. Structural and functional brain networks: from connections to cognition. Science. 2013;342:1238411.10.1126/science.1238411

[9] [9] Bullmore E, et al. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10:186–98.10.1038/nrn2575

[10] [10] Wilburn B, et al. High performance imaging using large camera arrays. ACM Trans Graph. 2005;24:765–76.10.1145/1073204.1073259

[11] [11] Lynn CW, et al. The physics of brain network structure, function and control. Nat Rev Phys. 2019;1:318–32.10.1038/s42254-019-0040-8

[12] [12] Seshadrinathan K, et al. High dynamic range imaging using camera arrays. 2017 IEEE International Conference on Image Processing (ICIP). IEEE; 2017. p. 725-9.

[13] [13] Zhang Y, et al. Multi-focus light-field microscopy for high-speed large-volume imaging. PhotoniX. 2022;3:1–20.

[14] [14] Wu JC, et al. An integrated imaging sensor for aberration-corrected 3D photography. Nature. 2022;612:62–71.10.1038/s41586-022-05306-8

[15] [15] Cossairt, et al. Scaling law for computational imaging using spherical optics. JOSA A. 2011;28:2540–53.10.1364/JOSAA.28.002540

[16] [16] Jeong KH, et al. Biologically inspired artificial compound eyes. Science. 2006;312(5773):557–61.10.1126/science.1123053

[17] [17] Zhu L, et al. Miniaturising artificial compound eyes based on advanced micronanofabrication techniques. Light: Adv Manuf. 2021;2(1):84–100.

[18] [18] Cao XW, et al. Single-pulse writing of a concave microlens array. Opt Lett. 2018;43:831–4.10.1364/OL.43.000831

[19] [19] Tanida J, et al. Color imaging with an integrated compound imaging system. Opt Express. 2003;11:2109–17.10.1364/OE.11.002109

[20] [20] Wu D, et al. High numerical aperture microlens arrays of close packing. Appl Phys Lett. 2010;97(3):031109.10.1063/1.3464979

[21] [21] Chan EP, et al. Fabricating microlens arrays by surface wrinkling. Adv Mater. 2006;18:3238–42.10.1002/adma.200601595

[22] [22] Song YM, et al. Digital cameras with designs inspired by the arthropod eye. Nature. 2013;497:95–9.10.1038/nature12083

[23] [23] Cheng Y, et al. Review of state-of-the-art artificial compound eye imaging systems. Bioinspir Biomim. 2019;14(3): 031002.10.1088/1748-3190/aaffb5

[24] [24] Park SH, et al. Subregional slicing method to increase three-dimensional nano-fabrication efficiency in two-photon polymerization. Appl Phys Lett. 2005;87:154108.10.1063/1.2103393

[25] [25] Kirschfeld K. The resolution of lens and compound eyes. Neural principles in vision. 1976. p. 354–70.

[26] [26] Cossairt OS, et al. Gigapixel computational imaging. 2011 IEEE International Conference on Computational Photography (ICCP). 2011. p. 1–8.

[27] [27] Liu SB, et al. Real-time and ultrahigh accuracy image synthesis algorithm for full field of view imaging system. Sci Rep. 2020;10(1):12389.10.1038/s41598-020-69353-9

[28] [28] Perazzi F, et al. Panoramic video from unstructured camera arrays. Computer Graph Forum. 2015;34:57–68.10.1111/cgf.12541

[29] [29] Dai QH, et al. A modular hierarchical array camera. Light Sci Appl. 2021;10(1):1–9.

[30] [30] Afshari H, et al. A spherical multi-camera system with real-time omnidirectional video acquisition capability. IEEE T Consum Electr. 2012;58:1110–8.10.1109/TCE.2012.6414975

[31] [31] Cohen MF, et al. Capturing and viewing gigapixel images. ACM Trans. Graph. 2007;26(3): 93–es.

[32] [32] Gigapan time machine. (2016). [Online]. Available: http://timemachine.cmucreatelab.org.

[33] [33] Ivezić Ž, et al. LSST: from science drivers to reference design and anticipated data products. American Astronomical Society Meeting. 2009;213:460–03.

[34] [34] Marks DL, et al. Characterization of the AWARE 10 two-gigapixel wide-field-of-view visible imager. Appl Opt. 2014;53(13):C54–63.10.1364/AO.53.000C54

[35] [35] Hou C, et al. Ultra slim optical zoom system using Alvarez freeform lenses. IEEE Photonics J. 2019;11(6):1–10.10.1109/JPHOT.2019.2957049

[36] [36] Zou Y, et al. Ultra-compact optical zoom endoscope using solid tunable lenses. Opt Express. 2017;25(17):20675–88.10.1364/OE.25.020675

[37] [37] Savidis N, et al. Nonmechanical zoom system through pressure-controlled tunable fluidic lenses. Appl Opt. 2013;52(12):2858–65.10.1364/AO.52.002858

[38] [38] Zhang DY, et al. Fluidic adaptive zoom lens with high zoom ratio and widely tunable field of view. Opt Commun. 2005;249(1–3):175–82.10.1016/j.optcom.2005.01.010

[39] [39] Cira NJ, et al. Vapour-mediated sensing and motility in two-component droplets. Nature. 2015;519(7544):446–50.10.1038/nature14272

[40] [40] Nie J, et al. Self-powered microfluidic transport system based on triboelectric nanogenerator and electrowetting technique. ACS Nano. 2018;12:1491–9.10.1021/acsnano.7b08014

[41] [41] Lee J, et al. Multifunctional liquid lens for variable focus and aperture. Sensor Actuat A-Phys. 2019;287:177–84.10.1016/j.sna.2019.01.014

[42] [42] Li YL, et al. Tunable liquid crystal grating based holographic 3D display system with wide viewing angle and large size. Light Sci Appl. 2022;11(1):1–10.10.1038/s41377-022-00880-y

[43] [43] Jamali A, et al. Large area liquid crystal lenses for correction of presbyopia. Opt Express. 2020;28(23):33982–93.10.1364/OE.408770

[44] [44] Chu F, et al. Four-mode 2D/3D switchable display with a 1D/2D convertible liquid crystal lens array. Opt Express. 2021;29(23):37464–75.10.1364/OE.441386

[45] [45] Kuiper S, et al. Variable-focus liquid lens for miniature cameras. Appl Phys Lett. 2004;85(7):1128–30.10.1063/1.1779954

[46] [46] Son HM, et al. Tunable-focus liquid lens system controlled by antagonistic winding-type SMA actuator. Opt Express. 2009;17(16):14339–50.10.1364/OE.17.014339

[47] [47] Lin YH, et al. An electrically tunable optical zoom system using two composite liquid crystal lenses with a large zoom ratio. Opt Express. 2011;19(5):4714–21.10.1364/OE.19.004714

[48] [48] Lin HC, et al. A holographic projection system with an electrically tuning and continuously adjustable optical zoom. Opt Express. 2012;20(25):27222–9.10.1364/OE.20.027222

[49] [49] Cheng J, et al. CUDA by example: an introduction to general-purpose GPU programming. Scalable Computing: Practice and Experience, 2010;11(4):401.

[50] [50] Xing W, et al. Fast pedestrian detection based on haar pre-detection[J]. International Journal of Computer and Communication Engineering. 2012;1(3):207.10.7763/IJCCE.2012.V1.54

[51] [51] Henriques JF, et al. High-speed tracking with kernelized correlation filters. IEEE Trans Pattern Anal Mach Intell. 2015;37:583–96.10.1109/TPAMI.2014.2345390

[52] [52] Rublee E, et al. ORB: an efficient alternative to SIFT or SURF. 2011 IEEE International Conference on Computer Vision. 2011. p. 2564–71.

[53] [53] Lowe DG. Distinctive image features from scale-invariant keypoints. Int J Comput Vision. 2004;60:91–110.10.1023/B:VISI.0000029664.99615.94

[54] [54] Song ZL, Zhang JP. Remote Sensing Image Registration Based on Retrofitted SURF Algorithm and Trajectories Generated From Lissajous Figures. IEEE GEOSCI REMOTE S. 2010;7:491–5.10.1109/LGRS.2009.2039917

[55] [55] Fischler MA, et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM. 1981;24:381–95.10.1145/358669.358692

[56] [56] Sanders J, et al. CUDA by example: an introduction to general-purpose GPU programming. Addison-Wesley Professional. 2010.

[57] [57] Lai WS, et al. Deep Laplacian pyramid networks for fast and accurate super-resolution. CVPR. 2017. p. 624–32.

[58] [58] Park SH, et al. Flexible style image super-resolution using conditional objective. IEEE Access. 2022;10:9774–92.

[59] [59] Lim B, et al. Enhanced deep residual networks for single image super-resolution. IEEE Conf. Comput. Vis. Pattern Recognit. 2017. p. 136–44.

[60] [60] Chen C, et al. Camera lens super-resolution. IEEE Conf. Comput. Vis. Pattern Recognit. 2019. p. 1652–60.