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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 21–30 of 34 papers

TitleStatusHype
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution—0
A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips—0
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution—0
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method—0
Double Sparse Multi-Frame Image Super Resolution—0
Frame-Recurrent Video Super-Resolution—0
Handling Motion Blur in Multi-Frame 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
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