Abstract
The high resolution reconstruction of solar speckle image is an important research issue in the field of astronomical observation. Due to the influence of atmospheric turbulence, the astronomical images obtained by ground-based optical telescope will be blurred or degraded seriously, which needs to be reconstructed by image restoration method. Most of the existing regularization methods deal with a single frame image. The more image features are, the better the reconstruction effect is. However, the poor quality of the reconstructed image is caused by the insufficient features of a single solar speckle image. In this paper, we combined the complementary relationship between multi-frame speckle images to establish a multi-frame blind restoration model suitable for solar speckle image reconstruction, used genetic algorithm to select regularization parameters and realized multi-frame block reconstruction in parallel. The experimental results show that the proposed method can restore the solar speckle image well, and the reconstruction speed is fast, which can meet the requirements of astronomical observation.
Supported by the Program for Innovative Research Team (in Science and Technology) in University of Yunnan Province (IRTSTYN).
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Zhu, L., Jiang, M., Fu, P., Chui, W. (2021). Parallel Reconstruction for High Resolution Multi-frame Solar Speckle Images. In: Ning, L., Chau, V., Lau, F. (eds) Parallel Architectures, Algorithms and Programming. PAAP 2020. Communications in Computer and Information Science, vol 1362. Springer, Singapore. https://doi.org/10.1007/978-981-16-0010-4_10
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DOI: https://doi.org/10.1007/978-981-16-0010-4_10
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