Multi-frame Super Resolution Reconstruction Based on Bayesian Inference

被引：0
|
作者：
Guo, Xiaofeng [1 ,2 ,3 ]
Qi, Bo [1 ,2 ]
Shi, Jianliang [1 ,2 ]
机构：
[1] Chinese Acad Sci, Key Lab Opt Engn, Chengdu 610209, Sichuan, Peoples R China
[2] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Sichuan, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源：
PROCEEDINGS OF THE 2017 GLOBAL CONFERENCE ON MECHANICS AND CIVIL ENGINEERING (GCMCE 2017) | 2017年 / 132卷
关键词：
Super resolution reconstruction; Bayesian inference; Image deterioration;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
引用
收藏
页码：14 / 18
页数：5
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