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
[2] School of Science, Jimei University, Xiamen
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2014年 / 40卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Ff-expansion; Graph-cut; Image degradation model; Sub-pixel; Super-resolution;
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
页数：10
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