基于引导滤波的数字图像自动聚焦融合方法研究

Research on automatic focus fusion of digital image based on guided filtering

为了提高远程物探遥感数字图像的自动聚焦检测能力,提出基于引导滤波的数字图像自动聚焦融合方法。建立远程物探遥感数字图像滤波检测模型,在信息增强技术下进行数字图像的特征匹配,建立远程物探遥感数字图像三维重建模型,构建可见光数字图像的模糊特征检测算法,通过远程物探遥感特征匹配,进行数字图像RGB分解,获得远程物探遥感下数字图像的空间匹配函数,在视觉分布模型下,进行远程物探遥感信息融合,结合空间视觉信息增强的方法,进行数字图像的融合滤波检测,通过引导滤波方法,进行数字图像自动聚焦融合处理,提高图像的输出信噪比。仿真结果表明,采用该方法进行高远程物探遥感数字图像聚焦融合的输出质量较好,图像输出信噪比较高,自动匹配性能较好,提高了高远程物探遥感数字图像识别和聚焦成像质量。

In order to improve the auto-focus detection ability of remote sensing digital images in remote geophysical exploration,a digital image auto-focus fusion method based on guided filtering is proposed.Establishing a filtering detection model of remote geophysical remote sensing digital images,matching features of digital images under information enhancement technology,establishing a three-dimensional reconstruction model of remote geophysical remote sensing digital images,constructing a fuzzy feature detection algorithm of visible light digital images,performing RGB decomposition of digital images through remote geophysical remote sensing feature matching,obtaining a spatial matching function of digital images under remote geophysical remote sensing,and fusing remote geophysical remote sensing information under a visual distribution model.Combined with the method of spatial visual information enhancement,the digital image fusion filtering detection is carried out,and the digital image auto-focusing fusion processing is carried out by the guidance filtering method,so as to improve the output signal-to-noise ratio of the image.The simulation results show that this method has better output quality,higher image detection accuracy and better automatic matching performance,which improves the quality of high-distance geophysical remote sensing digital image recognition and focusing imaging.