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A Novel Image Fusion Method Based on FRFT-NSCT

机译：基于FRFT-NSCT的图像融合新方法

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摘要

Nonsubsampled Contourlet transform (NSCT) has properties such as multiscale, localization, multidirection, and shift invariance, but only limits the signal analysis to the time frequency domain. Fractional Fourier transform (FRFT) develops the signal analysis to fractional domain, has many super performances, but is unable to attribute the signal partial characteristic. A novel image fusion algorithm based on FRFT and NSCT is proposed and demonstrated in this paper. Firstly, take FRFT on the two source images to obtain fractional domain matrices. Secondly, the NSCT is performed on the aforementioned matrices to acquire multiscale and multidirection images. Thirdly, take fusion rule for low-frequency subband coefficients and directional bandpass subband coefficients to get the fused coefficients. Finally, the fused image is obtained by performing the inverse NSCT and inverse FRFT on the combined coefficients. Three modes images and three fusion rules are demonstrated in the proposed algorithm test. The simulation results show that the proposed fusion approach is better than the methods based on NSCT at the same parameters.
机译：非下采样Contourlet变换（NSCT）具有多尺度，定位，多方向和位移不变性等属性，但仅将信号分析限制在时频域。分数阶傅立叶变换（FRFT）将信号分析扩展到分数域，具有许多出色的性能，但无法归因于信号的部分特性。提出并证明了一种基于FRFT和NSCT的图像融合算法。首先，对两个源图像进行FRFT以获得分数域矩阵。其次，对上述矩阵执行NSCT，以获取多尺度和多方向图像。第三，针对低频子带系数和定向带通子带系数采用融合规则，得到融合系数。最后，通过对组合系数执行反NSCT和反FRFT来获得融合图像。提出的算法测试证明了三种模式图像和三种融合规则。仿真结果表明，在相同参数下，该融合方法优于基于NSCT的融合方法。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第1期|408232.1-408232.9|共9页
  • 作者

    Peiguang Wang; Hua Tian; Wei Zheng;

  • 作者单位

    College of Electronic and Information Engineering, Hebei University, Baoding 071002, China;

    College of Electronic and Information Engineering, Hebei University, Baoding 071002, China;

    College of Electronic and Information Engineering, Hebei University, Baoding 071002, China;

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