为了提高可见光和红外图像融合效果,采用支持度变换的可见光与红外图像融合算法,首先对可见光和红外图像进行支持度变换,低频系数采用局部能量比例调制加权的方法进行融合,高频系数采用局部方差比例加权的方法进行融合,最后通过重构算法得到融合图像,并由理论分析得到融合图像的性能指标数据.结果表明,该算法同小波算法、Contourlet变换算法以及文献算法相比较,在图像细节信息、包含的信息量以及清晰度上都得到显著提高,达到了预期效果.

In order to improve the fusion quality of visible and infrared images,a fusion algorithm was put forward based on support value transform.At first,the visible and infrared images were transformed by support value.And then the low frequency coefficient was fused by using local energy ratio modulation weighted rule while the high frequency coefficient was fused by using local variance ratio weighted rule.Finally the fused image was obtained through the reconstruction algorithm and the fusion performance was gotten after theoretical analysis.The results show that,compared with wavelet transform,contourlet transform and the algorithm provided in the literature,the method improves the fine details,contained information and visual effect of the image significantly.