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Articles

Vol. 6 No. 1 (2020): Special Issue: Proceedings of CVIS 2020

Temporally Consistent Edge-Informed Video Super-Resolution (Edge-VSR)

DOI
https://doi.org/10.15353/jcvis.v6i1.3555
Submitted
January 15, 2021
Published
2021-01-15

Abstract

Resolution enhancement of a given video sequence is known as video super-resolution. We propose an end-to-end trainable video super-resolution method as an extension of the recently developed edge-informed single image super-resolution algorithm. A two-stage adversarial-based convolutional neural network that incorporates temporal information along with the current frame's structural information will be used. The edge information in each frame along with optical flow technique for motion estimation among frames will be applied. Promising results on validation datasets will be presented.