Abstract
Different from the recent popular super resolution system based on AI technology which needs normally massive training datasets, the micro-scanning super resolution system by integrating the high-precision mechanism and the image processing system can overpass the training datasets limit to enhance the image resolution and quality considerably in real time. Such a real-time image super resolution system named Quick Demo Station (QDS) system is presented. This system is jointly developed by Shanghai IAE, China, in cooperation with Cedrat technologies, France. The system is made of two modules, one imaging module (MicroScan_VIS_Module), the other image processing module (a portable image processing workstation). The image processing module performs imaging module’s control, as well as image acquisition, image registration, image super-resolution reconstruction, image contrast enhancement. Here the algorithm used to restore the low-resolution (LR) images is the iterative reconstruction method, which could achieve high quality super-resolution (SR) results. The output is a video stream whose frame rate is higher than 25 frames per second. The system is being tested in different applications and show the excellent super-resolution results, including low light level conditions and outdoor variable lighting scenarios. Furthermore, the algorithm in image processing module can be used not only on the workstations, but also in embedded processing system.
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References
Shi, W.: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: CVPR (2016)
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv:1703.10593 (2017)
Wexler, H.J.: Effect of Electronic Microscaning on Infrared Image Aliasing and spatial resolution, MIT MsC thesis (1995)
Le Letty, R.: The scanning mechanism for ROSETTA/MIDAS from an engineering model to the flight model. In: Proceedings of9th ESMATS conference Lewen (B), Sept 2001, ESA SP-480, pp 75–81 (2001)
Guay, P.: Piezo Qualification for Space Applications. In: Proceedings of Actuator 2002, Ed. Messe Bremen (G), pp 284–287 (2002)
Crawford, S.: THALES Long Wave Advanced IR QWIP Cameras, SPIE XXXII-6206–17 Orlando (2006)
CTEC Brochure for XY stages heritage. https://www.cedrat-technologies.com/fileadmin/user_upload/CTEC/Mechatronic_products/Stages_Heritage.pdf
Nowak, M., Lacour, S., Lapeyrère, V., et al.: A compact and lightweight fibered photometer for the PicSat mission (2017)
Menegaldo, C.G., Fialho, F.D.O., Janot-Pacheco, E., et al.: PicSat’s enduring legacy. Probing the flight of a small astronomical satellite. Publ. Astron. Soc. Pac. 134(1033), 034501 (2022)
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Li, D. et al. (2023). Real-Time Image Super Resolution System Based on Micro-scanning Technology. In: Urbach, H.P., Jiang, H. (eds) Proceedings of the 7th International Symposium of Space Optical Instruments and Applications. ISSOIA 2022. Springer Proceedings in Physics, vol 295. Springer, Singapore. https://doi.org/10.1007/978-981-99-4098-1_39
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DOI: https://doi.org/10.1007/978-981-99-4098-1_39
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