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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

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Showing 1–34 of 34 papers

TitleStatusHype
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-ResolutionCode2
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Permutation invariance and uncertainty in multitemporal image super-resolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With TransformersCode1
Deep Burst Super-ResolutionCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Simple Base Frame Guided Residual Network for RAW Burst Image Super-ResolutionCode1
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-Resolution—0
Joint Super-Resolution and Rectification for Solar Cell Inspection—0
Light Field Super-Resolution Via Graph-Based Regularization—0
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling—0
Multi-Frame Super-Resolution Combining Demons Registration and Regularized Bayesian Reconstruction—0
Multi-frame Super-resolution from Noisy Data—0
Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging—0
Double Sparse Multi-Frame Image Super Resolution—0
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution—0
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products—0
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution—0
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing—0
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method—0
Sparse Coding Approach for Multi-Frame Image Super Resolution—0
Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning—0
A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
Handling Motion Blur in Multi-Frame Super-Resolution—0
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