Open AccessAn Overview of Video Super-Resolution Algorithms
Author(s) -
Chenming Liu,
Ruipeng Gang,
Jinjing Li,
Fang Ji,
Haodong Yu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2025/1/012051
Subject(s) - computer science , resolution (logic) , field (mathematics) , algorithm , artificial intelligence , superresolution , space (punctuation) , computer vision , image (mathematics) , mathematics , pure mathematics , operating system
We investigate some excellent algorithms in the field of video space super-resolution based on artificial intelligence, structurally analyze the network structure of the algorithm and the commonly used loss functions. We also analyze the characteristics of algorithms in the new field of video space-time super-resolution. This work helps researchers to deeply understand the video super-resolution technology based on artificial intelligence.