一种基于像素清晰度的多聚焦图像融合方法

A multi-focus image fusion algorithm based on image pixel clarity

针对多聚焦图像的特点和区域融合规则的优点,给出了一种基于图像像素清晰度的多聚焦图像融合方法.该方法通过小波分解后的系数求取各图像像素的清晰度,对低频分量采用基于像素清晰度的自适应加权平均方法进行融合,对分解后得到的高频分量、高频系数选取基于图像像素清晰度最大原则,并对选择结果进行一致性验证.实验结果表明,采用该方法得到的图像,很好地保留了图像边缘、轮廓等重要特征,具有较好的视觉效果.

Considering the characteristics of multi-focus image and advantages of regional integration rules, a multi-focus image fusion algorithm based on image pixel clarity was proposed. Using the wavelet decomposition coefficients, the image pixel clarity will be obtained. Image of low-frequency is fused by adaptive weighted average method based on pixel clarity. For the high-frequency image, these coefficients that have maximal clarity is selected and the consistency of them is verified. The experimental results showed that the image fusion effect of this method is good. It＇s excellent in preserving the important features of image edge and outlines, and it also have a better visual effect.