Pages that link to "Item:Q2873227"
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The following pages link to SURE guided Gaussian mixture image denoising (Q2873227):
Displaying 17 items.
- Sketched learning for image denoising (Q826190) (← links)
- Risk estimators for choosing regularization parameters in ill-posed problems -- properties and limitations (Q1785032) (← links)
- Whiteness constraints in a unified variational framework for image restoration (Q1799621) (← links)
- Image denoising using Gaussian scale mixtures with Gaussian-Hermite PDF in steerable pyramid domain (Q1932836) (← links)
- A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering (Q2058771) (← links)
- Empirical risk minimization as parameter choice rule for general linear regularization methods (Q2179243) (← links)
- A unified view on patch aggregation (Q2303266) (← links)
- RNLp: mixing nonlocal and TV-Lp methods to remove impulse noise from images (Q2417936) (← links)
- A note on the size of denoising neural networks (Q2797780) (← links)
- A Wasserstein-Type Distance in the Space of Gaussian Mixture Models (Q3296474) (← links)
- Nonlocal Means and Optimal Weights for Noise Removal (Q4689646) (← links)
- Compressive Learning for Patch-Based Image Denoising (Q5043726) (← links)
- Image Denoising with Generalized Gaussian Mixture Model Patch Priors (Q5230422) (← links)
- High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI) (Q5236628) (← links)
- A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics (Q5266380) (← links)
- Patch Redundancy in Images: A Statistical Testing Framework and Some Applications (Q6175997) (← links)
- Learning from small data sets: patch-based regularizers in inverse problems for image reconstruction (Q6664951) (← links)
