Video Super-Resolution via Dynamic Local Filter Network
Video super-resolution (VSR) aims to give a satisfying estimation of a high-resolution (HR) image from multiple similar low-resolution (LR) images by exploiting their hidden redundancy. The rapid development of convolutional neural network (CNN) techniques provide numerous new possibilities to solve...
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| Format: | Others |
| Language: | en |
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Université d'Ottawa / University of Ottawa
2018
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| Online Access: | http://hdl.handle.net/10393/37939 http://dx.doi.org/10.20381/ruor-22197 |