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Author

L. Schiefelbein

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Preprint Sep 2026

BMND: Direct Poisson Denoising by N-Dimensional Block Matching and Collaborative Filtering

Poisson denoising of scientific data requires methods that account for signal-dependent noise while accommodating different data dimensionalities and preserving quantitative intensity information. We present BMND, a dimension-independent extension of block matching and collaborative filtering for Gaussian and Poisson o...

C. Duhme, L. Schiefelbein, F. Büther et al. · 0 citations

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