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Author:

Fu, Li-hua (Fu, Li-hua.) | Sun, Xiao-wei (Sun, Xiao-wei.) | Zhao, Yu (Zhao, Yu.) | Chen, Ren-jie (Chen, Ren-jie.) | Chen, Hui (Chen, Hui.) | Zhao, Ru (Zhao, Ru.)

Indexed by:

EI Scopus SCIE

Abstract:

How to effectively utilize inter-frame redundancies is the key to improve the accuracy and speed of video super-resolution reconstruction methods. Previous methods usually process every frame in the whole video in the same way, and do not make full use of redundant information between frames, resulting in low accuracy or long reconstruction time. In this paper, we propose the idea of reconstructing key frames and non-key frames respectively, and give a video super-resolution reconstruction method based on deep back projection and motion feature fusion. Key-frame reconstruction subnet can obtain key frame features and reconstruction results with high accuracy. For non-key frames, key frame features can be reused by fusing them and motion features, so as to obtain accurate non-key frame features and reconstruction results quickly. Experiments on several public datasets show that the proposed method performs better than the state-of-the-art methods, and has good robustness.

Keyword:

Deep back projection Super-resolution reconstruction Motion feature fusion Channel attention

Author Community:

  • [ 1 ] [Fu, Li-hua]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Sun, Xiao-wei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhao, Yu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Chen, Ren-jie]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Chen, Hui]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Zhao, Ru]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Fu, Li-hua]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

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Source :

MULTIMEDIA TOOLS AND APPLICATIONS

ISSN: 1380-7501

Year: 2021

Issue: 8

Volume: 80

Page: 11423-11441

3 . 6 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:87

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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