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基于特征的小波变换与高通滤波相结合的图像融合算法
引用本文:张爱英,柏钦玺. 基于特征的小波变换与高通滤波相结合的图像融合算法[J]. 鲁东大学学报, 2007, 23(3): 193-196
作者姓名:张爱英  柏钦玺
作者单位:山东财政学院统计与数理学院 济南250014(张爱英),鲁东大学数学与信息学院 山东烟台264025(柏钦玺)
摘    要:提出了一种基于多尺度分解的像素图像融合方法,综合考虑图像的边缘特征和小波变换后的系数相关性,对低频分量进行高通滤波,得到低频分量的细节分量并进行融合;在高频区域采用提取图像的边缘和区域能量相结合的方法进行融合.实验结果表明该算法具有很好的融合效果.

关 键 词:小波变换  图像融合  区域特征  融合规则  高通滤波
文章编号:1673-8020(2007)03-0193-04
修稿时间:2007-03-28

Image Fusion Method Based on Feature Wavelet Transform and Highpass Filter
ZHANG Ai-ying,BAI Qin-xi. Image Fusion Method Based on Feature Wavelet Transform and Highpass Filter[J]. Ludong University Journal (Natural Science Edition), 2007, 23(3): 193-196
Authors:ZHANG Ai-ying  BAI Qin-xi
Abstract:A image pixel fusion method based on wavelet multiscale transform was presented,the features of image's edge and the cofficient correlation after wavelet translation was analyzed.In low frequency area the highpass filter was used,the detail measure of low frequency are fused;And in high frequency area the fuse based on abstract the image's edge and region energy.Experimental results show that the method can achieve good fusion effect.
Keywords:wavelet transform  image fusion  region feature  fusion rule  highpass filter
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