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基于小波变换的加权图像融合方法
引用本文:刘晓华,李红.基于小波变换的加权图像融合方法[J].红外与激光工程,2004,33(6):638-641.
作者姓名:刘晓华  李红
作者单位:华中科技大学,数学系,湖北,武汉,430074
基金项目:航天支撑技术基金资助项目
摘    要:提出了一种基于小波变换的多光谱图像与高空间分辨率图像融合方法。该方法通过局部方差准则利用加权平均将高空间分辨率图像和多光谱图像经小波分解的低频分量进行融合,然后将融合的低频分量和高空间分辨率图像的细节分量结合进行小波反演变换得到融合图像。通过和WT方法的融合结果进行对比评价,表明了该方法在提高多光谱图像的空间细节表现能力和保持光谱信息上都有很好的效果。

关 键 词:多光谱图像  图像融合  高空间分辨率  小波变换  加权  小波分解  光谱信息  合方  局部  对比评价
文章编号:1007-2276(2004)06-0638-04
收稿时间:2003/12/30
修稿时间:2003年12月30

Weighted image fusion method based on wavelet transform
LIU Xiao-hua,LI Hong.Weighted image fusion method based on wavelet transform[J].Infrared and Laser Engineering,2004,33(6):638-641.
Authors:LIU Xiao-hua  LI Hong
Abstract:A new technique of the fusion of a high spatial resolution image and a low-resolution, multisprectral image is developed based on wavelet transform. This method merges the lower frequency components of a multispectral image and its high spatial resolution image by means of local deviation rules with weighting average. And then the merged image is reconstructed by an inverse wavelet transform using the fused approximation and details from the high spatial resolution image. Compared with WT method, the new method presented is clearly better in preserving spectral and improving spatial presentation.
Keywords:Wavelet transform  Image fusion  Weighting average  Lower frequency components
本文献已被 CNKI 维普 万方数据 等数据库收录!
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