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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 1120 of 34 papers

TitleStatusHype
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural NetworksCode1
Handheld Multi-Frame Super-ResolutionCode0
Combination of Single and Multi-frame Image Super-resolution: An Analytical PerspectiveCode0
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal imagesCode0
Wide Activation for Efficient and Accurate Image Super-ResolutionCode0
Frame-Recurrent Video Super-Resolution0
Joint Super-Resolution and Rectification for Solar Cell Inspection0
Light Field Super-Resolution Via Graph-Based Regularization0
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling0
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