Pages that link to "Item:Q2148464"
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The following pages link to Multi-fidelity and learning-regularization for single image super resolution (Q2148464):
Displaying 18 items.
- Efficient and effective total variation image super-resolution: a preconditioned operator splitting approach (Q541461) (← links)
- A linear well-posed solution to recover high-frequency information for super resolution image reconstruction (Q784648) (← links)
- Single image super-resolution by approximated Heaviside functions (Q1991837) (← links)
- A multi-frame super-resolution based on new variational data fidelity term (Q2049823) (← links)
- Distributed reconstruction of time-varying graph signals via a modified Newton's method (Q2095020) (← links)
- Multi-frame super resolution via deep plug-and-play CNN regularization (Q2194641) (← links)
- Single image super-resolution via non-local normalized graph Laplacian regularization: a self-similarity tribute (Q2212034) (← links)
- Multi-example feature-constrained back-projection method for image super-resolution (Q2287955) (← links)
- Single image super-resolution via blind blurring estimation and anchored space mapping (Q2288157) (← links)
- Single image super-resolution by non-linear sparse representation and support vector regression (Q2333472) (← links)
- Determining the regularization parameters for super-resolution problems (Q2377853) (← links)
- Example-based single document image super-resolution: a global MAP approach with outlier rejection (Q2642486) (← links)
- Superresolution from a single noisy image by the median filter transform (Q2797773) (← links)
- Resolution Enhancement in $\Sigma\Delta$ Learners for Superresolution Source Separation (Q4570755) (← links)
- Learning Super-Resolution Jointly From External and Internal Examples (Q4613162) (← links)
- Single Image Super-Resolution Using Global Regression Based on Multiple Local Linear Mappings (Q4618674) (← links)
- (Q4996511) (← links)
- (Q4998031) (← links)