Compressive Learning for Patch-Based Image Denoising
Author:
Funder
Agence Nationale de la Recherche
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,General Mathematics
Reference63 articles.
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1. A study of blind denoising algorithms for two-scale real images based on partial differential equations;Journal of Radiation Research and Applied Sciences;2024-12
2. Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising;Journal of Mathematical Imaging and Vision;2024-03-13
3. SAM-GAN: A Single-Image GAN Model Guided by Synergistic Attention;2023 International Conference on New Trends in Computational Intelligence (NTCI);2023-11-03
4. WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution;SIAM Journal on Imaging Sciences;2023-07-12
5. Compressive Learning of Deep Regularization for Denoising;Lecture Notes in Computer Science;2023
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