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.