A hybrid pre-trained and experimentally fine-tuned diffusion model denoises speckle data, cutting RMSE by up to 72% in femtometre-scale wavelength sensing with an integrating sphere where standard methods fail.
Journal of Biomed- ical Optics25(5), 050801 (2020) https://doi
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Enhancing Speckle Metrology with Diffusion Denoising in Photon-Starved Regimes
A hybrid pre-trained and experimentally fine-tuned diffusion model denoises speckle data, cutting RMSE by up to 72% in femtometre-scale wavelength sensing with an integrating sphere where standard methods fail.