Image fusion using nonsubsampled contourlet transform

被引:66
|
作者
Yang, Bin [1 ]
Li, Shutao [1 ]
Sun, Fengmei [1 ]
机构
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1109/ICIG.2007.124
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image fusion provides the means to integrate multiple images into a composite image which is more suitable for the purpose of human and machine perception or further image-processing tasks. This paper presents the use of nonsubscampled contourlet transform (NSCT) for image fusion. All the input images are decomposed firstly. Then the decomposition coefficients on the different scale are combined using different rule, and the fusion image is obtained by taking the corresponding inverse nonsubsampled contourlet transform of the fused coefficients. Some peformance measures are used to evaluate the results. Extensive experimental results show that the proposed scheme performs better than the method based on the stationary wavelet transform (SWT)
引用
收藏
页码:719 / +
页数:2
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