期刊文献+

一种基于无下采样Contourlet变换的多聚焦彩色图像融合算法

A multi-focus color image-fusion algorithm based on non-subsampled Contourlet transform
在线阅读 下载PDF
导出
摘要 提出了一种基于无下采样Contourlet变换和YIQ颜色空间的多聚焦彩色图像融合算法。对变换得到的高低频分量,根据各自的物理意义采用不同的融合规则进行融合处理,其中对高频分量的Y分量采用基于区域绝对值的融合规则,对I、Q分量采用改进的区域对比度融合规则。通过实验验证了这种改进算法的可行性、有效性和稳定性。 In this paper, a multi-focus color image fusion algorithm based on non-subsampled Contourlet transform and YIQ color space is proposed. Different fusion rules are used to fuse the high and low frequency components, according to their own physical significance. The fusion rule based on regional absolute value is used to fuse the Y component of high frequency, while the fusion rule based on improved regional contrast grade is used to fuse the I and Q component. The experimental results show that this fusion algorithm is feasible, effective and stable.
作者 邹蓉
出处 《计算机时代》 2013年第6期47-49,52,共4页 Computer Era
关键词 图像融合 无下采样Contourlet变换 YIQ颜色空间 多聚焦彩色图像 image fusion non-subsampled Contourlet transform YIQ color space multi-focus color image
  • 相关文献

参考文献5

  • 1POHL C, Van Genderen J L. Multisensor image fusion in remote sensing concepts, methods and application[J].International Journal of Remote Sensing,1998.19(5):823-854.
  • 2Da Cunha AL, Zhou J, Do MN.The nonsubsampled contourlet transform:theory, design, and applications[J]. IEEE Trans Image Processing,2006.15(10):3089.
  • 3Do M N, Vetterli M. The contourlet transform:an efficient directional multiresolution image representation[J]. IEEE Trans Image Processing,2005.14(12):2091-2106.
  • 4付朝霞,韩焱,刘晓利.一种新的多聚焦彩色图像融合方法[J].中国体视学与图像分析,2006,11(3):222-225. 被引量:8
  • 5李振华,敬忠良,孙韶媛,刘刚.基于不可分离小波框架变换的多聚焦图像融合算法[J].上海交通大学学报,2005,39(4):557-560. 被引量:4

二级参考文献16

  • 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王蓉,高立群,柴玉华,杨姝.一种多聚焦图像融合方法[J].控制与决策,2005,20(11):1256-1260. 被引量:5
  • 3汪强,尹峰,刘钢钦.基于小波的彩色图像融合技术[J].计算机仿真,2005,22(11):201-204. 被引量:9
  • 4Li H, Manjunath B S, Mitra S. Multisensor image fusion using the wavelet transform[J]. Graphical Models and Image Process, 1995, 57 (3): 235-245.
  • 5Zhang Z, Blum R S. A categorization of multiscaledecomposition-based image fusion schemes with a performance study for a digital camera application [J].Proceedings of the IEEE, 1999, 87(8):1315-1326.
  • 6Li S T, James T K,Wang Y N. Multifocus image fusion using artificial neural networks [J]. Pattern Recognition Letters, 2002, 23 (8): 985- 997.
  • 7Pan J S,Wang J W. Texture segmentation using separable and non-separable wavelet frames [J]. IEICE Trans Fundamentals, 1999, E82-A(8):1463-1474.
  • 8Kovacevic J,Vetterli M. Nonseparable two-and threedimensional wavelets[J]. IEEE Trans on Signal Processing, 1995, 43(5):1269-1273.
  • 9Kovacevic J, Vetterli M. Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases for Rn[J]. IEEE Trans on Information Theory,1992, 38(2):533-555.
  • 10C Phol.Multisensor image fusion in remote sensing:concepts,methods and applications[J].Int.J.Remote Sensing,1998,9(5):823 -854.

共引文献10

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