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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
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Multi-Frame Super-Resolution Combining Demons Registration and Regularized Bayesian Reconstruction0
Multi-frame Super-resolution from Noisy Data0
Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging0
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products0
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing0
Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning0
Sparse Coding Approach for Multi-Frame Image Super Resolution0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell0
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