基于区域划分的红外超分辨率重建

翟海天; 李辉; 李彬

doi:10.3788/OPE.20152310.2989

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基于区域划分的红外超分辨率重建

信息科学 | 更新时间：2020-08-13

- 基于区域划分的红外超分辨率重建
- Infrared super resolution reconstruction based on region division
- 光学精密工程 2015年23卷第10期页码：2989-2996
- 作者机构：
  
  西北工业大学电子信息学院,陕西西安,710072
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(No. 61171155, No. 61571364)();陕西省自然科学基金资助项目(No. 2012JM8010)()
- DOI：10.3788/OPE.20152310.2989
  中图分类号： TN216;TP391
- 收稿日期：2015-07-06，
  
  修回日期：2015-08-24，
  
  纸质出版日期：2015-10-25
- 稿件说明：
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翟海天, 李辉, 李彬. 基于区域划分的红外超分辨率重建[J]. 光学精密工程, 2015,23(10): 2989-2996

ZHAI Hai-tian, LI Hui, LI Bin. Infrared super resolution reconstruction based on region division[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10): 2989-2996
翟海天, 李辉, 李彬. 基于区域划分的红外超分辨率重建[J]. 光学精密工程, 2015,23(10): 2989-2996 DOI： 10.3788/OPE.20152310.2989.

ZHAI Hai-tian, LI Hui, LI Bin. Infrared super resolution reconstruction based on region division[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10): 2989-2996 DOI： 10.3788/OPE.20152310.2989.

摘要

提出了红外超分辨率重建系统以获取高分辨率红外数据。首先

根据红外图像获取过程建立了数学模型

讨论了降采样、模糊、运动以及高斯噪声对红外系统的影响;在非退化特征提取的基础上提出了基于特征的亚像素配准算法

其根据所得到的非退化特征应用归一化均方根误差来估计两帧之间的亚像素位移。然后

分析了传统全变分因子在高分辨重建时的不足并对其进行改进;利用区域划分将图像划分为平滑区域和细节区域

并根据区域的不同情况自适应全变分因子

从而使细节区域不至于过平滑。最后

利用MM(Majorization Minimixation)算法对合成的低分辨率红外图像和真实红外图像进行了超锐度重建。与同类相关算法的比较实验显示:所提算法亚像素配准最大误差为0.09 pixel

重建后的红外图像质量优于其他同类算法。所提算法可以对低分辨红外图像序列进行有效重建

具有配准精度高、重建图像细节丰富等特点

可应用于各种红外成像系统。

Abstract

An infrared super resolution reconstruction system was proposed to acquire high resolution infrared images. A mathematical model was established according to the procedure of image acquisition. The effect of down-sampling

blurring

motion

and Gussian noise on the infrared system were discussed. Then

a non-degradation feature based sub-pixel motion estimation method was proposed. On the basis of obtained non-degradation

the normalized root of mean square was utilized to estimate the sub-pixel motion between two frames. Furthermore

drawbacks of the conventional total variation factor were analyzed and improved when it was applied in the reconstruction procedure. The region division method was used to divide the image into smooth regions and detail regions

then the new variational factor was able to adaptive to different regions according to their characteristics

and the detail regions could not be over-smoothed. Finally

the experiments on both synthetic and real infrared image sequences were performed by MM(Majorization Minimization). The results indicate that the maximum error of proposed algorithm is 0.09 pixel and the quality of the reconstructed image is better than those of the other algorithms. The proposed algorithm has higher sub-pixel registration accuracy and rich image details

and is able to reconstruct the sequence of low resolution infrared images efficiently.It is suitable for various infrared applications.

关键词

Keywords

references

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