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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 26–34 of 34 papers

TitleStatusHype
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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