Paper
30 April 2024 Application of clean algorithm based on odd-even arm SPIDER system
Xiaoyan Pan, Qi Peng, Rui Jia, Zhikun Yang
Author Affiliations +
Proceedings Volume 13155, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems; 1315511 (2024) https://doi.org/10.1117/12.3018866
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China
Abstract
The Segmented Planar Imaging Detector for Electro-Optical Reconnaissance (SPIDER) imaging system combines synthetic aperture technology and Photonic Integrated Circuit (PIC) technology, which can reduce the size, mass and power consumption of traditional telescopes by one to two orders of magnitude. Simultaneously, it provides an effective way for future astronomical telescopes to have both large field of view, high resolution and light weight. In order to solve the problem of unsatisfactory image restoration effect of SPIDER imaging system, this paper proposes an optimized design based on a layered multi-level odd-even arm microlens array and an image reconstruction technology based on the clean algorithm. The simulation results show that the clean reconstruction algorithm based on the odd-even arm SPIDER system proposed in this paper can increase the peak signal-to-noise ratio (PSNR) by about 39% and the structural similarity (SSIM) by about 63%, which can effectively remove the artifacts caused by the system frequency truncation.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaoyan Pan, Qi Peng, Rui Jia, and Zhikun Yang "Application of clean algorithm based on odd-even arm SPIDER system", Proc. SPIE 13155, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems, 1315511 (30 April 2024); https://doi.org/10.1117/12.3018866
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