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cs.CV2025
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems
Bernardin Tamo Amougou, Marcelo Pereyra, Barbara Pascal
Image restoration problems are often ill-posed, leading to significant uncertainty in reconstructed images. Accurately quantifying this uncertainty is essential for the reliable in…
cs.CV2025
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems
Jasper M. Everink, Bernardin Tamo Amougou, Marcelo Pereyra
Most image restoration problems are ill-conditioned or ill-posed and hence involve significant uncertainty. Quantifying this uncertainty is crucial for reliably interpreting experi…