期刊文献+

非采样Contourlet域内的区域对比度图像融合 被引量:4

mage fusion based on region contrast in nonsubsampled Contourlet transform domain
下载PDF
导出
摘要 针对传统的基于小波对比度图像融合方法的不足,结合非采样Contourlet变换的优点提出了一种新的基于非采样Con-tourlet变换的区域对比度图像融合方法。该方法对图像经非采样Contourlet变换后得到的低频分量采用基于区域能量的自适应加权融合;高频分量结合人眼的视觉特性,提出了一种新的基于区域对比度的加权与选择相结合的融合方法。通过非采样Con-tourlet变换的逆变换得到融合图像。实验结果表明,该融合方法较传统的方法具有更强的获取细节信息的能力,其融合效果优于传统的图像融合算法。 In order to overcome the drawbacks of traditional contrast image fusion based on wavelet methods and combined the advantages of Nonsubsampled Contourlet Transform,a novel image fusion algorithm is proposed in this paper.Firstlyt,his algorithm decomposes original images by nonsubsampled contourlet transform,and then the low-frequency coefficients are fused by local area energy while for the high-frequency coefficientt,he combination of weighting and selection based on the local contrast ratio matching is developed,which is also consistent with the characteristics of the human vision system.Final-lyt,he fused image is obtained by performing the inverse nonsubsampled contourlet transform on the combined coefficients.The experimental results show that the proposed image fusion algorithm can more effectively descript the grey discontinuous information,and the fused image contains more abundant detail feature compared with traditional algorithms.
出处 《计算机工程与应用》 CSCD 北大核心 2010年第35期185-187,208,共4页 Computer Engineering and Applications
基金 国家自然科学基金(No.69674012) 重庆市科技攻关计划(No.CSTC2009AC3037)~~
关键词 图像融合 非采样CONTOURLET变换 区域能量 区域对比度 image fusion nonsubsampled Contourlet transforml ocal area energyr egion contrast
  • 相关文献

参考文献14

二级参考文献114

共引文献496

同被引文献37

  • 1楚恒,李杰,朱维乐.一种基于小波变换的多聚焦图像融合方法[J].光电工程,2005,32(8):59-63. 被引量:28
  • 2庄小婵.图像融合算法研究[D].西安:西北工业大学,2007.
  • 3da Cunha A L,Zhou J P,Do M N. The nonsubsampled cont- ourlet transform :Theory, design and applications [ J ]. IEEE Transactions on Image Processing, 2006, 15 ( 10 ) : 3089 - 3101.
  • 4Zhou Jian ping,Cunha A L,Do M N. Nonsubsampled cont- ourlet transform: Construction and application in enhance- ment[ C]//2005 International Conference on Image Pro- cessing. [S. 1. ]:[s. n. ] ,2005:469 -472.
  • 5Shifin Mahmoudi. Contourlet-based image fusion using information measures [C]//Proceedings of the 2nd WSEAS International Symposium on Wavelets Theory & Applications, 2008: 157-162.
  • 6Do M N, Martin Veaerli. Contourlets: a new directional multiresolution image representation [C]//Signals, Systems and Computers, Conference Record of the Thirty-Sixth Asilomar Conference, 2002, 1: 497-501.
  • 7Cunha A L, Zhou J P, Do M N. Nonsubsampled Contourlet transform: filter design and application in image denoising [C]//International Conference on Image Processing, 2005.
  • 8Cunha A L, Zhou J P, Do M N. The nonsubsampled Contourlet transform: theory, design, and applications [J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
  • 9Xydeas C S, Petrovic V. Objective image fusion performance measure[J]. Electronics Leflers, 2000, 36(4): 308-309.
  • 10Looney D, Mandic D P. Multiseale image fusion using complex extensions of EMD [J]. IEEE Trans. on Signal Processing, 2009, 57(4) : 1626-1630.

引证文献4

二级引证文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部