Fast color image fusion based on color transfer technique

LI Guang-xin; XU Shu-yan; ZHAO Yun-long; SUN Tian-yu

doi:10.3788/OPE.20101807.1637

您当前的位置：

首页 >

文章列表页 >

Fast color image fusion based on color transfer technique

Article | 更新时间：2020-08-12

- Fast color image fusion based on color transfer technique
- Optics and Precision Engineering Vol. 18, Issue 7, Pages: 1637-1647(2010)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20101807.1637
  CLC：
- Received：06 May 2009，
  
  Revised：11 June 2009，
  
  Published Online：30 July 2010，
  
  Published：20 July 2010
- 稿件说明：
移动端阅览
李光鑫, 徐抒岩, 赵运隆, 孙天宇. 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 Guang-xin, XU Shu-yan, ZHAO Yun-long, SUN Tian-yu. Fast color image fusion based on color transfer technique[J]. 光学精密工程, 2010,18(7): 1637-1647
李光鑫, 徐抒岩, 赵运隆, 孙天宇. 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 DOI： 10.3788/OPE.20101807.1637.

LI Guang-xin, XU Shu-yan, ZHAO Yun-long, SUN Tian-yu. Fast color image fusion based on color transfer technique[J]. 光学精密工程, 2010,18(7): 1637-1647 DOI： 10.3788/OPE.20101807.1637.

摘要

以红外和可见光图像为研究对象

提出了一种基于颜色传递技术的快速彩色图像融合算法。该算法直接用灰度融合图像和源多波段图像的差异信号构成源YC

分量

然后在YC

空间运用统计颜色传递技术形成一幅具有与目标图像相似色彩效果的彩色融合图像。算法中利用像素平均融合法和多分辨率融合法作为灰度融合方法

形成两种不同的融合策略以分别满足高实时性和高融合质量的需求。实验结果表明

提出的彩色图像融合算法能够有效地生成一幅具有自然日光色彩效果的融合图像

算法中即使采用像素平均法进行灰度融合同样可以获得令人满意的融合效果。

Abstract

With the particular research on infrared and visible images

a fast color image fusion algorithm based on color transfer technique is presented. The method directly uses the grayscale fused image and the difference signals of input multiband images to construct the sourceYC

components

then uses the statistical color transfer technique inYC

space to form a color fused image whose color appearance is similar to that of the target image. Two different strategies which employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution are proposed to fulfill high real-time need and high fusion quality need

respectively. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing daytime-like color fused image

and can also yield a satisfactory result even using the pixel averaging fusion scheme to implement the grayscale fusion.

关键词

Keywords

references

SMITH M I, HEATHER J P. Review of image fusion technology in 2005 [J]. SPIE, 2005,5782:29-45.

RILEY T, SMITH M. Image fusion technology for security and surveillance applications [J]. SPIE,2006,6402:640204-1-640204-12.

DRIGGERS R G, KRAPELS K A, VOLLMERHAUSEN R H, et al.. Target detection threshold in noisy color imagery [J]. SPIE,2001,4372:162-169.

SCRIBNER D A, SCHULER J M, WARREN P R, et al.. Infrared color vision: separating objects from backgrounds [J]. SPIE,1998,3379:2-13.

倪国强, 肖蔓君, 秦庆旺, 等. 近自然彩色图像融合算法及其实时处理系统的发展 [J]. 光学学报, 2007,27(12):2101- 2109. NI G Q, XIAO M J, QIN Q W, et al.. Development of near natural color image fusion algorithms and real-time image fusion system [J]. Acta Optica Sinica, 2007,27(12):2101-2109. (in Chinese)

金伟其, 王岭雪, 赵源萌, 等. 彩色夜视成像处理算法的新进展 [J]. 红外与激光工程, 2008,37(1):147-150. JIN W Q, WANG L X, ZHAO Y M, et al.. Developments of image processing algorithms for color night vision [J]. Infrared and Laser Engineering, 2008,37(1):147-150. (in Chinese)

MCDANIEL R V, SCRIBNER D A, KREBS W K, et al.. Image fusion for tactical applications [J]. SPIE, 1998,3436:685-695.

MCCARLEY J S, KREBS W K. Visibility of road hazards in thermal, visible, and sensor-fused night-time imagery [J]. Applied Ergonomics, 2000,31(5):523-530.

TOET A, WALRAVEN J. New false color mapping for image fusion [J]. Optical Engineering, 1996,35(3):650-658.

WAXMAN A M, AGUILAR M, FAY D A, et al.. Solid-state color night vision: fusion of low-light visible and thermal IR imagery [J]. Lincoln Lab. J., 1998,11(1):41-60.

AGUILAR M, FAY D A, ROSS W D, et al.. Real-time fusion of low-light CCD and uncooled IR imagery for color night vision [J]. SPIE, 1998,3364:124-135.

FAY D A, WAXMAN A M, AGUILD M, et al.. Fusion of multi-sensor imagery for night vision: color visualization, target learning and search . The 3rd International Conference on Information Fusion, 2000,1:TuD3-3-TuD3-10.

FAY D A, WAXMAN A M, IVEY R, et al.. Multisensor image fusion & mining: Learning targets across extended operating conditions [J].SPIE, 2004,5424:148-162.

FAY D, ILARDI P, SHELDON N, et al.. Realtime image fusion and target learning & detection on a laptop attached processor [J]. SPIE, 2005,5802:154-165.

WAXMAN A M, FAY D A, GOVE A N, et al.. Method and apparatus for generating a synthetic image by the fusion of signals representative of different views of the same scene . United States Patent: 5555324, 1996.

REINHARD E, ASHIKHMIN M, GOOCH B, et al.. Color transfer between images [J]. IEEE Computer Graphics and Applications, 2001,21(5):34-41.

RUDERMAN D L, CRONIN T W, CHIAO C C. Statistics of cone responses to natural images: Implications for visual coding [J]. J. Optical Soc. of America, 1998,15(8):2036-2045.

TOET A. Paint the night: applying daylight colours to nighttime imagery . Research Report TM-02-B006, Soesterberg, The Netherlands: TNO Human Factors, 2002.

TOET A. Natural colour mapping for multiband nightvision imagery [J]. Information Fusion, 2003,4(3):155-166.

LI Z, JING Z, YANG X, et al.. Color transfer based remote sensing image fusion using non-separable wavelet frame transform [J]. Pattern Recognition Letters, 2005,26(13):2006-2014.

TSAGARIS V, ANASTASSOPOULOS V. Fusion of visible and infrared imagery for night color vision [J]. Displays, 2005,26(4-5):191-196.

WANG L, ZHAO Y, JIN W, et al.. Real-time color transfer system for low-light level visible and infrared images in YUV color space [J]. SPIE, 2007,6567:65671G-1-65671G-8.

LI G, WANG K. Applying daytime colors to nighttime imagery with an efficient color transfer method [J]. SPIE, 2007,6559:65590L-1-65590L-12.

ZHENG Y, ESSOCK E A. A local-coloring method for night-vision colorization utilizing image analysis and fusion [J]. Information Fusion, 2008,9(2):186-199.

NEELAMANI R, QUEIROZ R DE, FAN Z, et al.. JPEG compression history estimation for color images [J]. IEEE Transactions on Image Processing, 2006,15(6):1365-1378.

SKODRAS A, CHRISTOPOULOS C, EBRAHIMI T. The JPEG 2000 still image compression standard [J]. IEEE Signal Processing Magazine, 2001,18(5):36-58.

LI G, WANG K. Merging infrared and color visible images with a contrast enhanced fusion method [J]. SPIE, 2007,6571:657108-1-657108-12.

李光鑫, 徐抒岩. 适于图像融合的快速颜色传递方法 [J]. 光学精密工程, 2009,17(9):2301-2310. LI G X, XU SH Y. Fast color transfer method for image fusion [J]. Opt. Precision Eng., 2009,17(9):2301-2310. (in Chinese)

COHEN A, DAUBECHIES I, FEAUVEAU J C. Biorthogonal bases of compactly supported wavelets [J]. Commun. Pure Appl. Math., 1992,45:485-560.

DAUBECHIES I. Ten Lectures on Wavelets [M]. Philadelphia, PA: SIAM, 1992.

Views

347

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fast Color Transfer Method for Image Fusion

Infrared and visible image fusion based on target enhancement and butterfly optimization

Image fusion of dual-discriminator generative adversarial network and latent low-rank representation

Night-vision image coloration fusion in oRGB color space

Infrared-visible video registration with matching motion trajectories of targets

Related Author

李光鑫

徐抒岩

HAO Shuai

LI Tong

MA Xu

HE Tian

SUN Xizi

LI Jiahao

Related Institution

中国科学院长春光学精密机械与物理研究所

College of Electrical and Control Engineering， Xi'an University of Science and Technology

AECC Shenyang Liming Aero-Engine Co.， LTD.

Key Laboratory of Nondestructive Testing （Ministry of Education）， Nanchang Hangkong University

School of Computer Science and Technology, Southwest University of Science and Technology

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