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装甲兵工程学院 控制工程系 北京,100072
收稿日期:2012-11-26,
修回日期:2013-01-16,
网络出版日期:2013-05-24,
纸质出版日期:2013-05-15
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裴闯 蒋晓瑜 王加 梁浩聪. 自然彩色化双通道实时图像融合系统[J]. 光学精密工程, 2013,21(5): 1333-1339
PEI Chuang JIANG Xiao-yu WANG Jia LIANG Hao-cong. Dual-channel Real-time Image Fusion Systerm with Nature Color[J]. Editorial Office of Optics and Precision Engineering, 2013,21(5): 1333-1339
裴闯 蒋晓瑜 王加 梁浩聪. 自然彩色化双通道实时图像融合系统[J]. 光学精密工程, 2013,21(5): 1333-1339 DOI: 10.3788/OPE.20132105.1333.
PEI Chuang JIANG Xiao-yu WANG Jia LIANG Hao-cong. Dual-channel Real-time Image Fusion Systerm with Nature Color[J]. Editorial Office of Optics and Precision Engineering, 2013,21(5): 1333-1339 DOI: 10.3788/OPE.20132105.1333.
考虑硬件资源与运算速度的需求,设计了一种基于数字信号处理(DSP)的具有自然彩色效果的红外与可见光图像融合系统。该系统采用软硬件结合的方法进行双通道图像配准,基于YCbCr空间实现伪彩色融合,然后利用自然真彩色参考图像对融合结果进行颜色传递。系统采用基于统计特性的颜色查找表技术,利用参考图像与伪彩色融合图像的统计特性修正颜色查找表,提高了计算效率。在系统的硬件平台上进行了实验,结果表明,系统融合图像接近自然色彩,在保留可见光图像细节的前提下,有效地突出了红外图像中的热目标。该系统融合速率达到25 frame/s,能够实现红外与可见光图像的实时融合与自然彩色化,有助于观察人员快速地发现目标,弥补了单一图像传感器的不足。
In consideration of the hardware resources and improving computing speeds
a dual-channel infrared and visible image fusion system with nature color was designed based on a Digital Signal Processor(DSP) to registrate dual-channel images by combining hardware and software. A false color image fusion algorithm was used to fuse the images in a YCbCr color space
then the system chose a reference image to transfer color to the fusion result. Furthermore
a color lookup table based on statistical properties of image was used to solve the complexity computation problem in color transfer. The real-time fusion and natural colorization of infrared and visible images were realized by this system. An experiment was performed on the wareplatform. The result shows that the color-transferred image has natural color perception to human eyes
and can highlight the targets effectively with clear background details. The fusion speed of this system is up to 25 frame/s
which impletments the fusion of infrared and visible images and the natural colorization in real time and satisfies the requirements of real-time image processing. The system makes up the disadvantages of single image sensor
improves the ability to detect potential targets.
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