Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

Multi-frame Super Resolution Reconstruction Based on Bayesian Inference

Authors
Xiaofeng Guo, Bo Qi, Jianliang Shi
Corresponding Author
Xiaofeng Guo
Available Online June 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-383-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/gcmce-17.2017.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/gcmce-17.2017.3
ID  - Guo2017/06
ER  -