关键词: 非负矩阵分解, 尖锐频率局部化, 图像融合, 能量方差测度函数

Abstract: In order to improve the information and edge details of fused image which come from the original images, fusing algorithm of Non-negative Matrix Factorization（NMF） combined new contourlet transform is proposed. The source images are employed with cycle spinning and the coefficients in different scales and directions are obtained by image decomposition using the new contourlet transform with sharp frequency localization. The fusion results of low pass coefficients are obtained by utilizing NMF and the fusion results of band pass coefficients are got by introducing into the energy-variance measure function as well as matching function. The fused image can be acquired through inverse contourlet transform and inverse cycle spinning. Experimental analysis and results show that the fusion algorithm can retain more information and edge details.

Key words: Non-negative Matrix Factorization（NMF）, sharp frequency localization;image fusion, energy-variance measure function