Dual-channel Real-time Image Fusion Systerm with Nature Color

PEI Chuang; JIANG Xiao-yu; WANG Jia; LIANG Hao-cong

doi:10.3788/OPE.20132105.1333

您当前的位置：

首页 >

文章列表页 >

Dual-channel Real-time Image Fusion Systerm with Nature Color

更新时间：2020-08-12

- Dual-channel Real-time Image Fusion Systerm with Nature Color
- Optics and Precision Engineering Vol. 21, Issue 5, Pages: 1333-1339(2013)
- 作者机构：
  
  装甲兵工程学院控制工程系北京,100072
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132105.1333
  CLC： TP751
- Received：26 November 2012，
  
  Revised：16 January 2013，
  
  Published Online：24 May 2013，
  
  Published：15 May 2013
- 稿件说明：
移动端阅览
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.

摘要

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。

Abstract

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.

关键词

Keywords

references

田思,张俊举,袁轶慧,等.不同视场的多源图像融合技术研究 [J]. 兵工学报，2012，33(1):26-31.TIAN S, ZHANG J J，YUAN Y H, et al.. Research on multi-source image fusion technology in different fields of view [J]. Acta Armament, 2012，33(1):26-31. (in Chinese)[2]曲锋,刘英,王健,等. 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 F, LIU Y, WANG J, et al.. Infrared dual-band real-time image fusion system [J]. Opt. Precision Eng., 2010, 18(7):1684-1690. (in Chinese)[3]孙明超,张崇,刘晶红.多尺度图像增强可见光与红外图像融合 [J]. 吉林大学学报，2012，42(3):738-742.SUN M CH, ZHANG CH, LIU J H. Fusion of visible and infrared images based on multi-scale image enhancement [J]. Journal of Jinlin University，2012，42(3):738-742. (in Chinese)[4]王昕. 含噪声图像的多聚焦融合算法 [J]. 光学精密工程，2011,19(12):2977-2984.WANG X. Multi-focus fusion algorithm for noisy images [J]. Opt. Precision Eng., 2011,19(12):2977-2984. (in Chinese)[5]王强,倪国强,高昆,等. 一种基于DSP的小型集成化图像融合系统设计 [J]. 激光与红外，2005，35:902-905.WANG Q, NI G Q, GAO K, et al.. A design of DSP based small integrated system for image fusion [J]. Laser and Infrared, 2005，35:902-905. (in Chinese)[6]陈浩,朱娟,刘艳滢,等.利用脉冲耦合神经网络的图像融合 [J]. 光学精密工程，2010,18(4):996-1001.CHEN H, ZHU J, LIU Y Y, et al.. Image fusion based on pulse coupled neural work [J]. Opt. Precision Eng., 2010, 18(4):996-1001. (in Chinese)[7]王加,蒋晓瑜,纪伯公. 基于感知颜色空间的灰度可见光与红外图像融合算法 [J]. 光电子激光，2008,19(9):1261-1264.WANG J, JIANG X Y, JI B G. An algorithm to fuse gray-scale infrared and visible light image based on perceptual color space [J]. Journal of OptoelectronicsLaser，2008,19(9):1261-1264. (in Chinese)[8]王加,蒋晓瑜. 基于伪彩色编码和图像融合技术的伪装目标识别方法 [J]. 探测与控制学报，2008，30(2):43-46.WANG J, JIANG X Y, DU D CH. A disguised target recognition method based on pseudo-color coding and image fusion [J]. Journal of Detection & Control，2008，30(2):43-46. (in Chinese)[9]REINHARD E, ASHIKHMIN M, GOOCH B, et al.. Color transfer between images [J]. IEEE Computer Graphics and Applications, 2001 , 21(5):34-41.[10]李光鑫,徐抒岩,赵运隆,等. 颜色传递技术的快速彩色图像融合 [J]. 光学精密工程，2010,18(7):1637-1647.LI G X, XU S Y, ZHAO Y L, et al.. Fast color image fusion based on color transfer technique [J]. Opt. Precision Eng., 2010,18(7):1637-1647. (in Chinese)[11]钱小燕,韩磊,王帮峰. 红外与可见光图像快速融合算法 [J]. 计算机辅助设计与图形学学报，2011，23(7):1211-1216.QIAN X Y, HAN L, WANG B F. A fast fusion algorithm of visible and infrared images [J]. Journal of Computer Aided Design & Computer Graphics，2011，23(7):1211-1216. (in Chinese)[12]史世明,王岭雪,王霞,等. 一种彩色夜视实时图像融合系统 [J]. 红外与激光工程，2006，35:360-365.SHI S M, WANG L X, WANG X, et al.. Real-time fusion system for color night vision [J]. Infrared and Laser Engineering, 2006, 35: 360-365. (in Chinese)[13]赵源萌,王岭雪,金伟基,等.基于色彩传递的单波段热图像彩色化处理算法 [J]. 光学学报，2009，3:654-658.ZHAO Y M, WANG L X, JIN W Q, et al.. Sing-band infrared image colorization algorithm based on color transfer [J]. Acta Optics Sinica，2009，3:654-658. (in Chinese)[14]王岭雪,史世明,金伟其,等. 基于YU V 空间的双通道视频图像色彩传递及实时系统 \[J\] . 北京理工大学学报, 2007, 27(3):189-191.WANG L X, SHI S M, JIN W Q, et al.. Color transfer and its real-time system based on a YUV space for dual-channel video image \[J\] . Transactions of Beijing Institute of Technology,2007, 27( 3) :189- 191. (in Chinese)[15]史世明,王岭雪,金伟其,等. 基于YUV 空间色彩传递的可见光/热成像双通道彩色成像系统 \[J\] . 兵工学报，2009，30(1):30-35.SHI S M, WANG L X, JIN W Q, et al.. A dual-band color imaging system for visible and thermal IR images based on color transfer in YUV color space \[J\] . Acta Armament，2009，30(1):30-35. (in Chinese)[16]TOET A. Natural color mapping for multiband night vision imagery [J]. Information Fusion, 2003, 4(3): 155-166.[17]MAARTEN A H, ALEXANDER T. Fast natural color mapping for night-time imagery [J]. Information Fusion, 2009, 10: 1016-1020.

Views

269

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Sum-modified-Laplacian-based Multifocus Image Fusion Method in Cycle Spinning Sharp Frequency Localized Contourlet Transform Domain

Image fusion algorithms using discrete cosine transform

Polarized image feature fusion in power inspection

Infrared and visible image fusion based on multi-scale spatial attention complementary

Adaptive color compensation and multi-scale fusion for underwater image enhancement

Related Author

QU Xiao-Bo

Yan Jing-wen

CHU Heng

ZHU Wei-le

NI Mengyao

PENG Yuanlong

HU Shang

YAN Longchuan

Related Institution

厦门大学通信工程系

School of Electronic Engineering, University of Electronic Science and Technology of China

School of Optical and Electronic Information， Huazhong University of Science and Technology

State Grid Information & Telecommunication Branch

State Grid JiangXi Electric Power Supply Co

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰