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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
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Simple Base Frame Guided Residual Network for RAW Burst Image Super-ResolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With TransformersCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
Permutation invariance and uncertainty in multitemporal image super-resolutionCode1
Deep Burst Super-ResolutionCode1
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural NetworksCode1
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling—0
Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning—0
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method—0
Combination of Single and Multi-frame Image Super-resolution: An Analytical PerspectiveCode0
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing—0
Multi-frame Super-resolution from Noisy Data—0
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products—0
Joint Super-Resolution and Rectification for Solar Cell Inspection—0
Multi-Frame Super-Resolution Combining Demons Registration and Regularized Bayesian Reconstruction—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
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 Imaging—0
Wide Activation for Efficient and Accurate Image Super-ResolutionCode0
Frame-Recurrent Video Super-Resolution—0
A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips—0
Light Field Super-Resolution Via Graph-Based Regularization—0
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution—0
Double Sparse Multi-Frame Image Super Resolution—0
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution—0
Handling Motion Blur in Multi-Frame Super-Resolution—0
Sparse Coding Approach for Multi-Frame Image Super Resolution—0
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