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De-aliasing

De-aliasing is the problem of recovering the original high-frequency information that has been aliased during the acquisition of an image.

Papers

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Showing 1–10 of 22 papers

TitleStatusHype
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep DenoisersCode1
Adaptive Diffusion Priors for Accelerated MRI ReconstructionCode1
When Semantic Segmentation Meets Frequency AliasingCode1
Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image ReconstructionCode1
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterationsCode1
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Can learning from natural image denoising be used for seismic data interpolation?Code0
Deep learning based spatial aliasing reduction in beamforming for audio capture—0
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