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We propose a self-supervised learning method for light field denoising (LFDN). Numerical experiments on a simulated light field dataset verified that our LFDN model within the Adaptive Stochastic Gradient Langevin Dynamics framework is superior to the classical denoising methods.
© 2023 The Author(s)
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