In order to solve the problem of image blur caused by different focal points of multifocus images, this paper provides a noval multi-focus image fusion method which uses discrete fractional wavelet transform (DFRWT) and improved fusion rules. First, the DFRWT is utilized to decompose the source multifocus images at multiple scales. Then considering the different characteristics of low-frequency subband as well as high-frequency subband, the local region gradient information criterion is selected as the low-frequency fusion rule and the neighbourhood variance weighted average criterion is selected as the high-frequency fusion rule. Lastly, inverse DFRWT processing is carried out to obtain the composite image. The validity and advantages of our proposed method are verified through simulation results in visual qualities and quantitative evaluation.

为了解决由多焦点图像的不同焦点引起的图像模糊的问题，本文提出了一种新颖的多焦点图像融合方法，该方法使用离散分数小波变换（DFRWT）和改​​进的融合规则。首先，DFRWT用于以多个比例分解源多焦点图像。然后考虑低频子带和高频子带的不同特性，选择局部梯度信息准则作为低频融合规则，选择邻域方差加权平均准则作为高频融合规则。最后，进行逆DFRWT处理以获得合成图像。通过仿真结果的视觉质量和定量评估，验证了所提方法的有效性和优势。