A Improved Infrard And Visible Light Image Fusion Algorithm

摘要：

　　On the basis of Nonsubsampled Contourlet Transform (NSCT) research,this paper proposed an improved image fusion algorithm based on the infrared and visible light image fusion.First of all,the NSCT was used to decompose the infrared image and the visible light image.Then the pixel feature energy weighted fusion rule and the neighborhood variance feature information fusion rule were used to get the low-frequency and high-frequency coefficients.Finally,the inverse NSCT was used to reconstruct the image to get the fused image.The experiment results show that this algorithm could effectively improve the image fusion quality.

关键词： image fusion (Nonsubsampled Contourlet Transform,NSCT) reconstruction infrared image visible light image

作者: XIAO Zhong-jie

作者单位: Network Center Qinghai University For Nationalities Xining,China,810007

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1211-1214

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）