High-resolution Solar Image Reconstruction Based on Non-rigid Alignment
Hui Liu, Zhenyu Jin, Yongyuan Xiang, Kaifan Ji

TL;DR
This paper introduces NASIR, a novel high-resolution solar image reconstruction algorithm that effectively suppresses atmospheric turbulence effects, offering robustness and faster processing compared to traditional speckle masking methods.
Contribution
The paper presents NASIR, a new non-rigid alignment based reconstruction algorithm that improves speed and robustness in solar image reconstruction under varying seeing conditions.
Findings
NASIR achieves image quality comparable to speckle masking under good seeing.
NASIR maintains high robustness when seeing conditions worsen.
Reconstruction time is less than half of speckle masking.
Abstract
Suppressing the interference of atmospheric turbulence and obtaining observation data with a high spatial resolution is an issue to be solved urgently for ground observations. One way to solve this problem is to perform a statistical reconstruction of short-exposure speckle images. Combining the rapidity of Shift-Add and the accuracy of speckle masking, this paper proposes a novel reconstruction algorithm-NASIR (Non-rigid Alignment based Solar Image Reconstruction). NASIR reconstructs the phase of the object image at each frequency by building a computational model between geometric distortion and intensity distribution and reconstructs the modulus of the object image on the aligned speckle images by speckle interferometry. We analyzed the performance of NASIR by using the correlation coefficient, power spectrum, and coefficient of variation of intensity profile (CVoIP) in processing…
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