Multi-frame Super Resolution Reconstruction Based on Bayesian Inference

DOI

10.2991/gcmce-17.2017.3How to use a DOI?

Keywords

Super resolution reconstruction, Bayesian inference, Image deterioration.

Abstract

This paper reviews the development process of super-resolution reconstruction and compares the advantages and disadvantages of multi-frame super-resolution reconstruction algorithm in detail. At the same time, the super-resolution algorithm based on Bayesian inference is simulated. The simulation results show that the algorithm has good effect and improves the resolution of the image effectively.

Copyright

© 2017, 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  - Xiaofeng Guo
AU  - Bo Qi
AU  - Jianliang Shi
PY  - 2017/06
DA  - 2017/06
TI  - Multi-frame Super Resolution Reconstruction Based on Bayesian Inference
BT  - Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 2352-5401
UR  - https://doi.org/10.2991/gcmce-17.2017.3
DO  - 10.2991/gcmce-17.2017.3
ID  - Guo2017/06
ER  -