Infrared dual-band real-time image fusion system

QU Feng; LIU Ying; WANG Jian; DONG Ke-yan; LIU Jian-zhuo; GUO Bang-hui; SUN Qiang

doi:10.3788/OPE.20101807.1684

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Infrared dual-band real-time image fusion system

Article | 更新时间：2020-08-12

- Infrared dual-band real-time image fusion system
- Optics and Precision Engineering Vol. 18, Issue 7, Pages: 1684-1690(2010)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 长春理工大学,吉林长春,130022
  3. 中国科学院研究生院北京,100039
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20101807.1684
  CLC：
- Received：06 May 2009，
  
  Revised：23 July 2009，
  
  Published Online：30 July 2010，
  
  Published：20 July 2010
- 稿件说明：
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曲锋, 刘英, 王健, 董科研, 刘建卓, 郭帮辉, 孙强. 红外双波段图像实时融合系统[J]. 光学精密工程, 2010,18(7): 1684-1690

QU Feng, LIU Ying, WANG Jian, DONG Ke-yan, LIU Jian-zhuo, GUO Bang-hui, SUN Qiang. Infrared dual-band real-time image fusion system[J]. 光学精密工程, 2010,18(7): 1684-1690
曲锋, 刘英, 王健, 董科研, 刘建卓, 郭帮辉, 孙强. 红外双波段图像实时融合系统[J]. 光学精密工程, 2010,18(7): 1684-1690 DOI： 10.3788/OPE.20101807.1684.

QU Feng, LIU Ying, WANG Jian, DONG Ke-yan, LIU Jian-zhuo, GUO Bang-hui, SUN Qiang. Infrared dual-band real-time image fusion system[J]. 光学精密工程, 2010,18(7): 1684-1690 DOI： 10.3788/OPE.20101807.1684.

摘要

选用高性能定点数字信号处理器DM642作融合系统核心处理器

S3C2410作辅助控制处理器

利用DM642的高速图像处理性能及它的视频编/解码单元无缝连接的灵活可配置视频端口

结合S3C2410强大的控制能力

研制了探测中波红外和长波红外的双波段图像实时融合系统。将一种基于离散小波变换的图像融合算法应用于红外双波段图像的融合

针对实时嵌入式系统的特点

对算法进行了优化

并将其移植在以DSP+ARM架构的嵌入式平台上。实验结果表明

该融合算法经仿真优化后

只需39.6 ms即可完成两幅大小为320 pixel240 pixel的红外图像的实时融合

满足25 frame/s的工程需求

且融合后的图像能突出中波和长波红外各自的特点。

Abstract

By taking a high performance fixed-point DSP DM642 as a kernel processor

and a S3C2410 as a assistant control processor

an IR dual-band real-time image fusion system worked at Mid-wave Infrared (MWIR) and Long-wave Infrared (LWIR) is designed by using the high speed operation of DM642 and its configurable video ports combined with the powerful control capability of the S3C2410. An image fusion algorithm based on Discrete Wavelet Transform (DWT) is applied to the IR dual-band image fusion. Then

the algorithm is optimized to run on a DSP+ARM embedded hardware platform based on the features of real-time embedded system. The experiments demonstrate that it is only 39.6 ms to be needed to complete the real-time fusion of two IR images with the resolution of 320 pixel240 pixel

which meets the engineering requirements of 25 frame/s.It also demonstrates that obtained images can show the characteristics of MWIR and LWIR

respectively.

关键词

Keywords

references

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