Multi-frame Super Resolution Reconstruction Based on Bayesian Inference
Xiaofeng Guo, Bo Qi, Jianliang Shi
Available Online June 2017.
- https://doi.org/10.2991/gcmce-17.2017.3How to use a DOI?
- Super resolution reconstruction, Bayesian inference, Image deterioration.
- 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.
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 -