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Multi-Frame Super-Resolution

When multiple images of the same view are taken from slightly different positions, perhaps also at different times, then they collectively contain more information than any single image on its own. Multi-Frame Super-Resolution fuses these low-res inputs into a composite high-res image that can reveal some of the original detail that cannot be recovered from any low-res image alone.

( Credit: HighRes-net )

Papers

Showing 2130 of 34 papers

TitleStatusHype
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal imagesCode0
Handheld Multi-Frame Super-ResolutionCode0
Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging0
Wide Activation for Efficient and Accurate Image Super-ResolutionCode0
Frame-Recurrent Video Super-Resolution0
A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips0
Light Field Super-Resolution Via Graph-Based Regularization0
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution0
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