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5 November 2020 A multi-channel joint restoration algorithm based on imaging Shack-Hartmann wave-front sensor
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Proceedings Volume 11570, AOPC 2020: Telescopes, Space Optics, and Instrumentation; 115700D (2020) https://doi.org/10.1117/12.2579445
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
Multi-frame blind deconvolution (MFBD) is a well-known numerical restoration technique for obtaining highresolution images of astronomical targets through the Earth’s turbulent atmosphere. The performance of MFBD algorithms depend on initial estimates for the object and the PSFs. Even though the observed image might be close to the object and could be used for the initial estimate for the object, as is often the case with the PSFs, we lack prior knowledge on the PSFs for each image. In order to provide high-quality initial estimates and improve the performance of the MFBD algorithm, one of the most effective methods is to introducing an imaging Shack-Hartmann Wave-front sensor which is similar to the traditional Shack-Hartmann Wave-front sensor but with a smaller number of lenslets across the aperture, and to process the data using a multi-channel joint restoration algorithm. In this paper, we proposed a multi-channel joint restoration algorithm which involves the usage of an imaging Shack Hartmann channel data alongside with the science camera data to improve the overall performance of the MFBD restoration algorithm. The numerical results are given in order to illustrate the performance of the joint restoration process.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhitao Chen, Jin Liu, Zhilei Ren, Zhentao Zhang, Huizhe Yang, and Yonghui Liang "A multi-channel joint restoration algorithm based on imaging Shack-Hartmann wave-front sensor", Proc. SPIE 11570, AOPC 2020: Telescopes, Space Optics, and Instrumentation, 115700D (5 November 2020); https://doi.org/10.1117/12.2579445
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