Super-resolution image reconstruction algorithm based on sub-pixel shift

被引：0
|
作者：
Zhang, Dong-Xiao [1 ,2 ]
Lu, Lin [1 ]
Li, Cui-Hua [1 ]
Jin, Tai-Song [1 ]
机构：
[1] School of Information Science and Engineering, Xiamen University, Xiamen,361005, China
[2] School of Science, Jimei University, Xiamen,361021, China
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2014年 / 40卷 / 12期
关键词：
Energy minimization - Graph cut - Image degradation model - Image super-resolution reconstruction - Low resolution images - Sub pixels - Super resolution - Super resolution image reconstruction algorithm;
D O I：
10.3724/SP.J.1004.2014.02851
中图分类号：
学科分类号：
摘要：
This paper studies the problem of multi-frame image super-resolution reconstruction. The process of image degradation is modeled by using the first-order Taylor expansion based on sub-pixel. Then the energy minimization function is established and the graph-cut algorithm is chosen to solve the energy minimization. In order to confirm this algorithm, we obtain the low resolution images by two ways: simulating image degradation and taking photos. By comparing the 4 £ 4 times reconstruction results, it is shown that this algorithm is valid not only for simulation of low resolution images but also for real images. Besides, experimental results show that this algorithm possesses good anti-interference ability of noise.
引用
收藏
页码：2851 / 2861
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