Real-time and ultrahigh accuracy image synthesis algorithm for full field of view imaging system.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
24 Jul 2020
Historique:
received: 29 04 2020
accepted: 08 07 2020
entrez: 26 7 2020
pubmed: 28 7 2020
medline: 28 7 2020
Statut: epublish

Résumé

In this paper, we propose a real time, ultrahigh accuracy and full-field-of-view (RUF) algorithm for full field of view (FOV) imaging system. The proposed algorithm combines rough matching and precise matching method to stitch multiple images with the whole FOV in short time and high imaging quality. In order to verify real-time imaging effect of RUF algorithm, we also fabricate a multi-camera imaging system which includes 19 independent cameras. And the experiment result practically illustrates that full-FOV system can achieve good performances under a near-limiting FOV of 360° × 240° with low distortion, meanwhile, optical resolution reaches up to 95 megapixels. 100% registration-accuracy RUF algorithm for imaging in one second can be widely applied to any optical imaging engineering field with large FOV, such as remote sensing imaging, microscopy imaging, monitoring system engineering fields and so on.

Identifiants

pubmed: 32709880
doi: 10.1038/s41598-020-69353-9
pii: 10.1038/s41598-020-69353-9
pmc: PMC7382481
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12389

Subventions

Organisme : National Natural Science Foundation of China
ID : 61927809
Organisme : National Natural Science Foundation of China
ID : 61927809
Organisme : National Natural Science Foundation of China
ID : 61927809
Organisme : National Natural Science Foundation of China
ID : 61927809
Organisme : National Natural Science Foundation of China
ID : 61927809
Organisme : National Natural Science Foundation of China
ID : 61927809

Références

Beck, R. N. Nomenclature for Fourier transforms of spread functions of imaging systems used in nuclear medicine. J. Nucl. Med. 13(9), 704–705 (1972).
pubmed: 5054866
Jalili, N. & Laxminarayana, K. A review of atomic force microscopy imaging systems: Application to molecular metrology and biological sciences. Mechatronics 14(8), 907–945 (2004).
doi: 10.1016/j.mechatronics.2004.04.005
Sabatini, R., Richardson, M. A., Cantiello, M. & Fiorini, P. A novel approach to night vision imaging systems development, integration and verification in military aircraft. Aerosp. Sci. Technol. 31(1), 10–23 (2013).
doi: 10.1016/j.ast.2013.08.021
Yang, J. J., Flores, A. & Wang, M. R. Achromatic hybrid refractive–diffractive lens with extended depth of focus. Appl. Opt. 43(30), 5618–5630 (2004).
doi: 10.1364/AO.43.005618
Kitamura, Y. Reconstruction of a high-resolution image on a compound-eye image-capturing system. Appl. Opt. 43(8), 1719–1727 (2004).
doi: 10.1364/AO.43.001719
Horisaki, R., Choi, K., Hahn, J., Tanida, J. & Brady, D. J. Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition. Opt. Express. 18(18), 19367–19378 (2010).
doi: 10.1364/OE.18.019367
Horisaki, R. & Tanida, J. Compact compound-eye projector using superresolved projection. Opt. Lett. 36(2), 121–123 (2011).
doi: 10.1364/OL.36.000121
Deng, H., Gao, X., Ma, M., Li, Y. & Zhong, X. Catadioptric planar compound eye with large field of view. Opt. Express. 26(10), 12455 (2018).
doi: 10.1364/OE.26.012455
Rubin, M., Bose, K. P. & Kim, S. H. Mo1517 successful deployment and use of third eye panoramic a novel side viewing video CAP fitted on a standard colonoscope. Gastroint. Endosc. 79(5), AB466 (2014).
doi: 10.1016/j.gie.2014.02.694
Brady, D. J. et al. Multiscale gigapixel photography. Nature 486(7403), 386–389 (2012).
doi: 10.1038/nature11150
Cao, A. et al. Structural design and image processing of a spherical artificial compound eye. Optik. 126(21), 3099–3103 (2015).
doi: 10.1016/j.ijleo.2015.07.094
Shimizu, S. et al. Moving object detection by mobile Stereo Omni-directional System (SOS) using spherical depth image. Pattern Anal. Appl. 9(2–3), 113–126 (2006).
doi: 10.1007/s10044-005-0008-4
Jeong, K. H., Kim, J. & Lee, L. P. Biologically inspired artificial compound eyes. Science 312(5773), 557–561 (2006).
doi: 10.1126/science.1123053
Carles, G., Downing, J. & Harvey, A. R. Super-resolution imaging using a camera array. Opt. Lett. 39(7), 1889–1892 (2014).
doi: 10.1364/OL.39.001889
Yu, L., Keyi, W. & Gongshu, F. Photometric calibration and image stitching for a large field of view multi-camera system. Sensors. 16(4), 516 (2016).
doi: 10.3390/s16040516
Wang, J. & Wu, J. Wide field of view multifocal scanning microscopy with sparse sampling. J. Biomed. Opt. 21(2), 026008 (2016).
doi: 10.1117/1.JBO.21.2.026008
Damian, W. Multi-camera imaging system for UAV photogrammetry. Sensors. 18(8), 2433 (2018).
doi: 10.3390/s18082433
Alcantarilla, P. F., Nuevo, J. & Bartoli, A. Fast explicit diffusion for accelerated features in nonlinear scale spaces. BMVC. 34, 1281–1298 (2013).
Alahi, A., Ortiz, R. & Vandergheynst, P. FREAK: Fast retina keypoint. CVPR. 510–517 (2012).
Li, X. W., Kim, S. T. & Wang, Q. H. Copyright protection for elemental image array by hypercomplex Fourier transform and an adaptive texturized holographic algorithm. Opt. Express. 25(15), 17076 (2017).
doi: 10.1364/OE.25.017076

Auteurs

Shu-Bin Liu (SB)

School of Electronics and Information Engineering, Sichuan University, Chengdu, 610065, China.

Jin-Hui Wang (JH)

School of Electronics and Information Engineering, Sichuan University, Chengdu, 610065, China.

Rong-Ying Yuan (RY)

School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China.

Wu-Xiang Zhao (WX)

School of Electronics and Information Engineering, Sichuan University, Chengdu, 610065, China.

Lei Li (L)

School of Electronics and Information Engineering, Sichuan University, Chengdu, 610065, China. leili@scu.edu.cn.

Qiong-Hua Wang (QH)

School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China. qionghua@buaa.edu.cn.

Classifications MeSH