张少辉, 崔仲远, 于来行. 基于DWT结合NSCT的快速图像融合算法[J]. 微电子学与计算机, 2015, 32(9): 40-44. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.008
引用本文: 张少辉, 崔仲远, 于来行. 基于DWT结合NSCT的快速图像融合算法[J]. 微电子学与计算机, 2015, 32(9): 40-44. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.008
ZHANG Shao-hui, CUI Zhong-yuan, YU Lai-hang. A Fast Fusion Algorithm Based on DWT and NSCT[J]. Microelectronics & Computer, 2015, 32(9): 40-44. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.008
Citation: ZHANG Shao-hui, CUI Zhong-yuan, YU Lai-hang. A Fast Fusion Algorithm Based on DWT and NSCT[J]. Microelectronics & Computer, 2015, 32(9): 40-44. DOI: 10.19304/j.cnki.issn1000-7180.2015.09.008

基于DWT结合NSCT的快速图像融合算法

A Fast Fusion Algorithm Based on DWT and NSCT

  • 摘要: 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.

     

    Abstract: 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.

     

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