Many advanced ground-based solar telescopes improve the spatial resolution of observation images using an adaptive optics (AO) system. As any AO correction remains only partial, it is necessary to use post-processing image reconstruction techniques such as speckle masking or shift-and-add (SAA) to reconstruct a high-spatial-resolution image from atmospherically degraded solar images. In the New Vacuum Solar Telescope (NVST), the spatial resolution in solar images is improved by frame selection and SAA. In order to overcome the burden of massive speckle data processing, we investigate the possibility of using the speckle reconstruction program in a real-time application at the telescope site. The code has been written in the C programming language and optimized for parallel processing in a multi-processor environment. We analyze the scalability of the code to identify possible bottlenecks, and we conclude that the presented code is capable of being run in real-time reconstruction applications at NVST and future large aperture solar telescopes if care is taken that the multi-processor environment has low latencies between the computation nodes.

ABSTRACT
1. INTRODUCTION
2. IMPLEMENTATION
    2.1 Preprocessing and Correlation Tracking
    2.2 Spectral Ratio
    2.3 Frame Selection
    2.4 Filtering
3. RESULTS
4. CONCLUSIONS
REFERENCES

• XUE-BAO LI(Yunnan Observatories, Chinese Academy of Sciences, University of Chinese Academy of Sciences) Corresponding Author
• FENG WANG(Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology)
• YONG YUAN XIANG(Yunnan Observatories, Chinese Academy of Sciences, University of Chinese Academy of Sciences)
• YAN FANG ZHENG(University of Chinese Academy of Sciences)
• YING BO LIU(University of Chinese Academy of Sciences)
• HUI DENG(Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology)
• KAI FAN JI(Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology)