吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 235-241.doi: 10.13229/j.cnki.jdxbgxb201701034

• 论文 • 上一篇    下一篇

微扫描红外成像超分辨重建

王新华1, 2, 欧阳继红1, 张广2, 何阳2   

  1. 1.吉林大学 计算机科学与技术学院,长春 130012;
    2.中国科学院长春光学精密机械与物理研究所 应用光学国家重点实验室,长春 130033
  • 收稿日期:2015-11-12 出版日期:2017-01-20 发布日期:2017-01-20
  • 通讯作者: 欧阳继红(1964-),女,教授,博士生导师.研究方向:空间推理与数据挖掘.E-mail:ouyj@jlu.edu.cn
  • 作者简介:王新华(1984-),男,助理研究员,博士研究生.研究方向:计算光学成像技术.E-mail:xinhuajlu@163.com
  • 基金资助:
    国家自然科学基金项目(61170092); 吉林省科技发展计划项目(20160209006GX).

Super-resolution reconstruction of infrared images based on micro-scanner

WANG Xin-hua1, 2, OUYANG Ji-hong1, ZHANG Guang2, HE Yang2   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • Received:2015-11-12 Online:2017-01-20 Published:2017-01-20

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摘要： 为了通过低分辨率红外探测器获取高质量的图像信息,对基于微扫描成像的序列图像获取方法和超分辨图像重建算法进行了研究。首先,阐述了微扫描红外成像系统工作模式和软硬件构成。然后,提出了一种基于电机驱动的光学微扫描序列图像获取方法。最后,提出了一种基于字典学习的凸集投影算法用于超分辨图像重建。采用数值仿真和实际拍摄两种方式来验证本文算法的有效性,结果均表明本文方法能够有效地重建图像边缘细节并对噪声有较好的抑制作用。

关键词: 计算机应用, 微扫描, 凸集投影, 超分辨图像重建

Abstract: In order to acquire high quality image information through infrared detector with low resolution, a method for acquiring image sequence through a Micro-scanner Imaging (MSI) system and Super-resolution Image Reconstruction (SRIR) algorithm was investigated. First, the working mode, hardware and software composition of the MSI system were elaborated. Then, the method for acquiring the image sequence from the MSI system based on motor drive was extracted. Finally, an algorithm of Projections onto Convex Sets (POCS) based on dictionary learning was presented, which was used for SRIR. To validate the proposed method, low resolution image sequence was acquired from digital simulation and real shooting. Experimental results indicate that the proposed method could effectively restore the edge information of an image and suppress noise.

Key words: computer application, micro-scanner, projections onto convex sets(POCS), super-resolution image reconstruction(SRIR)

中图分类号: 

  • TP391.4
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