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基于二维提升小波变换的图像融合
引用本文:何伟. 基于二维提升小波变换的图像融合[J]. 数字社区&智能家居, 2009, 0(7)
作者姓名:何伟
作者单位:湖北大学数学与计算机科学学院;
摘    要:将图像进行提升小波变换,分别对高低频采用不同的融合方法,得到融合后图像。并引入信息熵、相关系数和清晰度等性能指标对融合后的图像进行分析。实验结果表明,此提升方法在融合图像质量上优于传统小波变换。

关 键 词:提升小波变换  图像融合  邻域空间频率  

Image Fusion Based on the Lifting 2-D Wavelet Transform
HE Wei,LIU Bin. Image Fusion Based on the Lifting 2-D Wavelet Transform[J]. Digital Community & Smart Home, 2009, 0(7)
Authors:HE Wei  LIU Bin
Affiliation:College of Mathematics and Computer Science;Hubei University;Wuhan 430062;China
Abstract:Two registered images were decomposed by lifting wavelet transform,the high-frequency and low-frequency signals were adopted different fusion method.The fusion image was gained by reconstruction.Comparing the performance of entropy,correlation co-efficient and image definition,this lifting transform is better than the traditional wavelet transform.
Keywords:lifting wavelet transform  image fusion  neighborhood space-frequency  
本文献已被 CNKI 等数据库收录!
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