Introduces three algorithms for DIP early stopping via pseudo self-referenced images that outperform prior methods on natural and medical images under varying noise.
Deep image prior for medical image denoising, a study about parameter initialization.Frontiers in Applied Mathematics and Statistics, 8:995225, 2022
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A Principled Self-Referenced Early Stopping Approach for Deep Image Prior
Introduces three algorithms for DIP early stopping via pseudo self-referenced images that outperform prior methods on natural and medical images under varying noise.