Research on Super-resolution Reconstruction Optimization Method Based on Deep Learning

DOI

10.2991/ncce-18.2018.194How to use a DOI?

Keywords

image, super-resolution, reconstruction.

Abstract

In order to reconstruct low-resolution images into high-resolution images and compensate for the loss of information between high-resolution images and low-resolution images, this paper presents an effective super-resolution reconstruction optimization method, which analyzes the advantages and disadvantages of existing super-resolution constructing methods, and throws out problems that need to be resolved, and designs reasonable solutions.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mei Zhang
AU  - Huan Liu
PY  - 2018/05
DA  - 2018/05
TI  - Research on Super-resolution Reconstruction Optimization Method Based on Deep Learning
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 1151
EP  - 1156
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.194
DO  - 10.2991/ncce-18.2018.194
ID  - Zhang2018/05
ER  -