将图像的高频信息和低频信息分开考虑,它们有各自的融合规则。首先通过离散小波变换获得高频系数部分,非下采样轮廓波变换获得低频和高频信息进行初步融合,最后与离散小波变换的结果进行二次融合。实验结果表明,与几种优秀算法比较,此算法表现出更好的视觉融合效果和更短的运行时间。
In this paper,the high-frequency and low-frequency information were considered separately,and they both have their own fusion rules.First we use discrete wavelet transform to get high frequency coefficients part,and we use non-subsampled contourlet transform to obtain low and high frequency parts to get an initial fusion image,then a second fusion with the result of discrete wavelet transform.Experimental results show that compared with the several excellent algorithms,this algorithm shows better visual effects and shorter running time.