关键词: 图像融合, 非采样Contourlet变换, 区域能量, 区域对比度

Abstract: 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.Firstly，this 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 coefficient，the 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.Finally，the 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.

Key words: image fusion, nonsubsampled Contourlet transform, local area energy, region contrast