Volume 4 Issue 2
Apr.  2011
Turn off MathJax
Article Contents
LI Guang-xin, WU Wei-ping, HU Jun. Luminance-contrast transfer based fusion algorithm for infrared and color visible images[J]. Chinese Optics, 2011, 4(2): 161-168.
Citation: LI Guang-xin, WU Wei-ping, HU Jun. Luminance-contrast transfer based fusion algorithm for infrared and color visible images[J]. Chinese Optics, 2011, 4(2): 161-168.

Luminance-contrast transfer based fusion algorithm for infrared and color visible images

  • Received Date: 12 Dec 2010
  • Rev Recd Date: 23 Jan 2011
  • Publish Date: 25 Apr 2011
  • With the particular research on infrared and color visible images, a color image fusion algorithm based on Luminance-contrast Transfer(LCT) technique is presented. Firstly, the method employs a grayscale fusion approach to fuse the infrared image and the luminance component of the color visible image. Then, it uses the LCT technique to improve the luminance and contrast of the grayscale fused result. Finally, the color fused image is generated directly in the RGB space with the fast YCBCR transform fusion scheme. Two different strategies which employ the pixel averaging fusion approach and the multiresolution fusion approach as the grayscale fusion solution are proposed to implement the high real-time and high fusion quality, respectively. Experimental results show that the proposed algorithm can produce a color fused image not only with the natural color appearance similar as that of the input color visible image, but with pleasing luminance and contrast, and can also provide a good result even using the pixel averaging scheme to implement the grayscale fusion.

     

  • loading
  • [1] SMITH M I,HEATHER J P. Review of image fusion technology in 2005[J]. SPIE,2005,5782:29-45. [2] 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) [3] 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 Eng.,2008,37(1):147-150.(in Chinese) [4] TOET A. Color image fusion for concealed weapon detection[J]. SPIE,2003,5071:372-379. [5] XUE Z Y,BLUM R S. Concealed weapon detection using color image fusion . The 6th International Conference of Information Fusion,Melbourne Australia Jul 8-11,2003:622-627. [6] DWYER D,SMITH M,DALE J,et al.. Real time implementation of image alignment and fusion[J]. SPIE,2005,5813:16-24. [7] LI G X,WANG K. An efficient natural-looking color fusion method of infrared and visible images . IEEE TENCON 2006,Hong Kong,China Nov 14-17,2006:1-4. [8] 李光鑫,王珂. 基于Contourlet变换的彩色图像融合算法[J]. 电子学报 ,2007,35(1):112-117. LI G X,WANG K. Color image fusion algorithm using the contourlet transform[J]. Acta Electronica Sinica,2007,35(1):112-117.(in Chinese) [9] NEELAMANI R,QUEIROZ R de,FAN Z,et al.. JPEG compression history estimation for color images[J]. IEEE T. Image Process.,2006,15(6):1365-1378. [10] SKODRAS A,CHRISTOPOULOS C,EBRAHIMIT. The JPEG 2000 still image compression standard[J]. IEEE Signal Proc. Mag.,2001,18(5):36-58. [11] JACK K. Video Demystified[M]. 3rd ed. Eagle Rock,VA:LLH Technology Publishing,2001. [12] POYNTON C. Digital Video and HDTV,Algorithms and Interfaces[M]. San Francisco:Morgan Kaufmann,2003. [13] REINHARDE,ASHIKHMIN M,GOOCH B,et al.. Color transfer between images[J]. IEEE Comput. Graph.,2001,21(5):34-41. [14] 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 ,2009,9(17):2301-2310. LI G X,XU S Y. Fast color transfer method for image fusion[J]. Opt. and Precision Eng.,2009,9(17):2301-2310. [15] COHEN A,DAUBECHIES I,FEAUVEAU J C. Biorthogonal bases of compactly supported wavelets[J]. Commun. Pur. Appl. Math.,1992,45:485-560. [16] DAUBECHIES I. Ten Lectures on Wavelets[M]. Philadelphia:SIAM,1992.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(4417) PDF downloads(1510) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return