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A Gradient-based Multi-focus Image Fusion Method Using Multiwavelets Transform

机译:一种基于梯度的多焦焦图像融合方法,使用多主导变换

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This paper presents an approach of multi-focus pixel level image fusion, which is based on multi-wavelets transform and a gradient image representation. By comparing and analyzing all sorts of fusion schemes, two different fusion rules for different sub-band region are chosen. One is a region-based root mean square error weighted average scheme in low frequency region. The other one is an energy-based region weighted method in high frequency region. In order to evaluate fusion image quality objectively, the spatial frequency and definition is adopted as the criterion. Experimental results show that the gradient-based fusion method using multi-wavelets is superior to the scalar wavelet method and the multi-wavelets method.
机译:本文介绍了多焦像素级图像融合的方法,基于多小波变换和梯度图像表示。通过比较和分析各种融合方案,选择了两个不同子带区域的不同融合规则。一个是低频区域中基于区域的根均方误差加权平均方案。另一个是高频区域中基于能量的区域加权方法。为了客观地评估融合图像质量,采用空间频率和定义作为标准。实验结果表明,使用多光波的梯度基熔融方法优于标量小波法和多小波法。

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