This special issue of Applied Optics contains selected papers from OSA’s Imaging Congress with particular emphasis on work from mathematics in imaging, computational optical sensing and imaging, imaging systems and applications, and 3D image acquisition and display.
© 2018 Optical Society of America
Imaging is the most basic and maybe the most applicable operation that can be done with optics. Imaging systems have numerous applications in industrial, military, consumer, and medical sectors. Assembling a complete imaging system requires a combination of several disciplines, both physical and numerical, to perform data collection, processing and display.
This feature issue is aimed at scientists, engineers, and practitioners interested in understanding how different materials, optical components and devices, and image processing algorithms combine to determine and influence image system performance. Its intent is to bring together the critical components that define the imaging system and identify the research advances in the areas of use. The design of these optical systems must consider the system as an integrated unit and optimize the performance for the specific application. Numerous subdisciplines are contributing to the advancement of optical imaging technology. These include imaging optics; optical sensing and detection; computational, adaptive, and compressive imaging; displays, and usability of information. Any modern imaging system is dependent on one or more of these research areas all represented in this feature issue.
The OSA Imaging and Applied Optics Congress is an annual event containing a variety of topical meetings on imaging. This event is attracting scientists, researchers and engineers from all over the world for the latest scientific and commercial research in imaging and applied optical sciences. The Congress covers advances at the forefront of imaging, as well as diverse applications.
This special AO issue contains a representative selection of the research presented at OSA’s Imaging Congress in 2017 (San Francisco, USA) featuring papers from the following meetings: (1) Mathematics in Imaging, (2) Computational Optical Sensing and Imaging, (3) Imaging Systems and Applications, and (4) 3D Image Acquisition and Display: Technology, Perception and Applications. This special issue also includes contributions from the wider imaging and applied optics community.
In the collection of papers presented within this feature issue, we have papers on integral imaging, , digital holography [2–4], lensless and multi aperture-based imaging and identification [5–7], tomography [8,9], biomedical imaging [10,11], beam and lens analysis and characterization [12–17], super resolution [18,19], imaging in scattering media [20–22], cameras for communication and laser-based detection and ranging [23,24] as well as compressed sensing and single pixel cameras [25,26].
We thank all the authors for their fine contributions, the reviewers for their valuable comments and suggestions, and the Applied Optics editors and staff for their support and assistance.
1. X. Shen and B. Javidi, “Large depth of focus dynamic micro integral imaging for optical see-through augmented reality display using a focus tunable lens,” Appl. Opt. 57, B184–B189 (2018). [CrossRef]
2. M. A. Charsooghi and A. R. Moradi, “Surface proximity effect in sedimentation investigated by digital holographic microscopy,” Appl. Opt. 57, B179–B183 (2018). [CrossRef]
3. X. Xu, Z. Zhang, Z. Wang, J. Wang, K. Zhan, Y. Jia, and Z. Jiao, “Robust digital holography design for flexible recording and precise reconstruction,” Appl. Opt. 57, B205–B211 (2018).
4. T. O’Connor, S. Rawat, A. Markman, and B. Javidi, “Automatic cell identification and visualization using digital holographic microscopy with head mounted augmented reality devices,” Appl. Opt. 57, B197–B204 (2018).
5. B. Javidi, A. Markman, and S. Rawat, “Automatic multi-cell identification using a compact lensless single and double random phase encoding system,” Appl. Opt. 57, 190–196 (2018).
6. C. Duan, Y. Bai, L. Tang, S. Nan, Q. Shen, and X. Fu, “Reduction of the defocusing effect in lensless ghost imaging and ghost diffraction with cosh-Gaussian modulated incoherent sources,” Appl. Opt. 57, B20–B24 (2018). [CrossRef]
7. S. Wu, G. Zhang, T. Jiang, M. Zhu, K. Fu, H. Rong, K. Xian, H. Song, and K.-D. Kuhnert, “Multi-aperture stereo reconstruction for artificial compound eye with cross image belief propagation,” Appl. Opt. 57, B160–B169 (2018). [CrossRef]
8. N. Polydorides, A. Tsekenis, E. Fisher, A. Chighine, H. McCann, L. Dimiccoli, P. Wright, M. Lengden, T. Benoy, D. Wilson, G. Humphries, and W. Johnstone, “A constrained solver for optical absorption tomography,” Appl. Opt. 57, B1–B9 (2018). [CrossRef]
9. G. Kozlov, V. S. Zapasskii, and P. Yu. Shapochkin, “Heterodyne detection of scattered light: application to mapping and tomography of optically inhomogeneous media,” Appl. Opt. 57, B170–B178 (2018). [CrossRef]
10. H. M. Ahmed, B. A. B. Youssef, A. S. Elkorany, A. A. Saleeb, and F. Abd El-Samie, “Hybrid gray wolf optimizer-artificial neural network classification approach for magnetic resonance brain images,” Appl. Opt. 57, B25–B31 (2018). [CrossRef]
11. M. Golberg, J. Ruiz-Rivas, S. Polani, Y. Beiderman, and Z. Zalevsky, “Large scale clinical validation of non-contact and continuous extraction of blood pressure via multi-point defocused photonic imaging,” Appl. Opt. 57, B45–B51 (2018). [CrossRef]
12. A. Jamali, D. Bryant, Y. Zhang, A. Grunnet-Jepsen, A. Bhowmik, and P. J. Bos, “Design of a large aperture tunable refractive Fresnel liquid crystal lens,” Appl. Opt. 57, B10–B19 (2018). [CrossRef]
13. X. Xie, H. Fan, H. Wang, Z. Wang, and N. Zou, “Error of the slanted edge method for measuring the modulation transfer function of imaging systems,” Appl. Opt. 57, B83–B91 (2018). [CrossRef]
14. J. Zhu, P. Zhang, D. Chen, R. Liu, Y. Zhou, J. Wang, H. Gao, and F. Li, “A robust method to probe the topological charge of a Bessel beam by dynamic angular double slits,” Appl. Opt. 57, B39–B44 (2018). [CrossRef]
15. C. Joenathan, T. Naderishahab, A. Bernal, A. B. Krovetz, V. C. Pretheesh Kumar, and A. R. Ganesan, “Nanoscale tilt measurement using a cyclic interferometer with polarization phase stepping and multiple reflections,” Appl. Opt. 57, B52–B58 (2018). [CrossRef]
16. J. Yu, Z. Shen, P. Sheng, X. Wang, C. J. Hailey, and Z. Wang, “Ray tracing method for the evaluation of grazing incidence X-ray telescopes described by spatially sampled surfaces,” Appl. Opt. 57, B74–B82 (2018). [CrossRef]
17. D. Fiorucci, A. Hreibi, and W. Chaibi, “Telescope-based cavity for negative ion beam neutralization in future fusion reactors,” Appl. Opt. 57, B122–B134 (2018). [CrossRef]
18. I. Gabay, A. Shemer, A. Schwarz, and Z. Zalevsky, “2D Mono detection spatially super-resolved microwave imaging for Radar applications,” Appl. Opt. 57, B114–B121 (2018). [CrossRef]
19. H. Shabani, A. Doblas, G. Saavedra, E. Sanchez-Ortiga, and C. Preza, “Improvement of two-dimensional structured illumination microscopy with an incoherent illumination pattern of tunable frequency,” Appl. Opt. 57, B92–B101 (2018). [CrossRef]
20. A. Bavali, P. Parvin, M. Tavassoli, and M. R. Mohebbifar, “Angular distribution of laser-induced fluorescence emission of active dyes in scattering media,” Appl. Opt. 57, B32–B38 (2018). [CrossRef]
21. J. Wu, G. Li, Z. Luo, M. Zhu, and X. Wu, “Distribution law of dust concentration by image transmission in cement workshop,” Appl. Opt. 57, B59–B66 (2018). [CrossRef]
22. S. He, X. Wang, R. Xia, W. Jin, and J. Liang, “Polarimetric infrared imaging simulation of a synthetic sea surface with Mie scattering,” Appl. Opt. 57, B150–B159 (2018). [CrossRef]
23. N. Bani Hassan, Z. Ghassemlooy, S. Zvanovec, P. Luo, and H. Le-Minh, “Non-Line-of-Sight 2 × N Indoor Optical Camera Communications,” Appl. Opt. 57, B144–B149 (2018). [CrossRef]
24. H. Wang, Q. Hao, J. Cao, C. Wang, H. Zhang, Z. Zhou, and S. Li, “Target recognition method on retina-like LADAR range images,” Appl. Opt. 57, B135–B143 (2018). [CrossRef]
25. J. Fade, E. Perrotin, and J. Bobin, “Polarizer-free two-pixel polarimetric camera by compressive sensing,” Appl. Opt. 57, B102–B113 (2018). [CrossRef]
26. Y. Jauregui-Sánchez, P. Clemente, P. Latorre-Carmona, E. Tajahuerce, and J. Lancis, “Signal-to-noise ratio of single-pixel cameras based on photodiodes,” Appl. Opt. 57, B67–B73 (2018). [CrossRef]