基于非下采样Contourlet变换的多传感器图像融合

根据非下采样Contourlet变换同时具有多尺度多分辨分析和平移不变性质的特点,提出一种基于非下采样Contourlet变换的多传感器图像融合方法,将其应用于多传感器图像融合的两个重要领域——多聚焦图像融合和高分辨、多光谱图像融合,从视觉效果和信息量指标方面对融合图像进行主观评判和数值评价.实验中将本文方法与Contourlet变换、小波变换、主成分分析等方法进行了比较,结果表明本文方法得到的融合结果具有更优的视觉质量和量化指标,能很好地将源图像的细节信息融合在一起,拓广了NSCT的应用范围.

The Nonsubsampled Contourlet Transform in Multisensor Images Fusion

Based on the properties of NonSubsampled Contourlet Transform,shift invariance,multiscale and multidirectional expansion,a novel multisensor images fusion method was proposed.The proposed method was applied to the multifocus and the multispectral images fusion in the experiments respectively.We gave the subjective judgment and numeric measurement of the fusion image based on visual effect and information indexes.To evaluate the performance of the proposed algorithms,we compared our results with those of the algorithms,such as contourlet transform,wavelet transform and principal component analysis.The simulation results indicate that the proposed method outperforms the others in terms of both visual quality and objective evaluation criteria,and maintains much more detail information as well.At the same time,the proposed algorithm widens the applications of the NSCT.