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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
收稿日期:2009-05-06,
修回日期:2009-07-23,
网络出版日期:2010-07-30,
纸质出版日期:2010-07-20
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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.
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。
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.
郭雷,李晖晖,鲍永生. 图像融合[M]. 北京:电子工业出版社,2008:1-2. GUO L, LI H H, BAO Y SH. Image Fusion[M]. Beijing:Publishing House of Electronics Industry,2008:1-2. (in Chinese)
陈书汉,庞其昌,靳贵平,等. 一种双波段图像实时融合实验系统[J]. 光学技术,2006,32(2):277-279. CHEN SH H, PANG Q CH, JIN G P,et al.. An experimental system for real-time two-channel image fusion[J]. Optical Technique, 2006,32(2):277-279. (in Chinese)
许廷发,秦庆旺,倪国强. 基于DM642融合系统的A Trous小波实时图像融合算法[J]. 光学 精密工程,2008,16(10):2045-2050. XU T F, QIN Q W, NI G Q. A Trous wavelet real-time image fusion algorithm based on DM642 fusion sysytem[J]. Opt. Precision Eng., 2008, 16(10):2045-2050. (in Chinese)
陈升来,黄廉卿,郭静寰. 基于整型提升小波变换的图像处理及DSP实现[J]. 光学 精密工程,2006,14(3):498-502. CHEN SH L,HUANG L Q,GUO J H. Image processing based on integral lifting scheme and its implementation by DSP [J]. Opt. Precision Eng., 2006, 14(3):498-502. (in Chinese)
楚恒,朱维乐. 基于DCT变换的图像融合方法研究[J]. 光学 精密工程,2006,14(2):266-273. CHU H, ZHU W. Image fusion algorithms using discrete cosine transform[J]. Opt. Precision Eng.,2006,14(2):266-273. (in Chinese)
戴光智,陈铁群,薛家祥,等. 小波图像融合改善超声图像分辨率[J]. 光学 精密工程,2008,16(11):2290-2295. DAI G ZH, CHEN T Q, XUE J X, et al.. Improvement of resolution for ultrasonic image based on wavelet image fusion[J]. Opt. Precision Eng.,2008,16(11):2290-2295. (in Chinese)
TEXAS INSTRUMENTS.TMS320DM642 Video/Imaging Fixed-Point Digital Signal Processor(Rev.l) . http://focus.ti.com/lit/ds/symlink/tms320dm642.pdf, 2002.
王健,陈启美, 陈章德. 基于DSP和ARM的嵌入式多媒体通信终端的设计与实现[J]. 电子测量技术,2006,29(2):56-57. WANG J, CHEN Q M, CHEN ZH D. Design and implementation of embedded multimedia terminal based on DSP and ARM[J]. Electronic Measurement Technology, 2006,29(2):56-57. (in Chinese)
LIN Q W, FENG G. A novel image fusion alrorithm based on wavelet transforms[J]. SPIE,2008,7001:70010M-1-70010M-8.
李光鑫. 基于小波变换的像素级图像融合算法的研究 . 长春: 吉林大学, 2004. LI G X. Pixel-level image fusion algorithms with wavelet transform . Changchun: Jilin University, 2004.(in Chinese)
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