基于离散向量小波变换的多光谱图像融合

为了能够更好地把多光谱图像和高分辨率图像的图像信息综合起来,以提高对图像信息的分析和提取能力,在研究了离散向量小波图像分析法之后,本文提出了一种基于离散向量小波变换的像素级图像融合新方法。向量小波作为标量小波的一种扩展具有很多标量小波所没有的优点。向量小波分析能够为图像提供一种比标量小波多分辨分析更加精细的分析方法。利用向量小波将多光谱图像和高分辨率图像进行融合后得到的融合图像,能够很好地将原图像的细节融合在一起。给出了该方法的融合结果,通过与其它融合方法进行主观与客观的评价比较,证明该融合方法可以获得更好的融合效果。

Multi-spectral Image Fusion Using Discrete Multiwavelet Transform

In order to merge multispectral image and high-resolution panchromatic image and to improve abilities of information analysis and feature extraction, we study discrete multiwavelet analysis on image data and give a fusion method in pixel level by means of discrete multiwavelet transform in this paper.Multiwavelets are extension from scalar wavelets,and have several advantages in comparison with scalar wavelets. They offer a more precise way for image analysis than wavelet multi-resolution analysis. Through fusing multispectral image and high-resolution panchromatic image by method based on multiwavelet analysis, we get fused pictures.The method can fuse details of input images successfully. Comparing of objective and subjective performance we can draw the conclusion that using this image fusion method can get more satisfactory result than using others.