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Author

Christopher A. Metzler

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Preprint Aug 2026

Implicit Neural Speckle Denoising

This work introduces a training-free framework that combines a spatiotemporal implicit neural representation with an aperture-aware maximum-likelihood formulation to recover dynamic, speckle-free imagery directly from noisy observations, enabling adaptation to arbitrary pupil geometries without retraining.

Matthew R. Ziemann, Casey J. Pellizzari, Tyler J. Hardy et al. · 0 citations

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