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TriINR: Unsupervised Atmospheric Turbulence Mitigation with Triple Implicit Neural Representations
Atmospheric turbulence degrades image quality in long-range imaging. The degradation is generally modeled with two spatio-temporally varying components, tilt and blur. Recent unsupervised turbulence mitigation methods have demonstrated the effectiveness of representing a sharp image as an implicit n
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