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基于均方能量的退化图像融合研究
引用本文:曾致远,陈少辉,王乘,鄢铁平. 基于均方能量的退化图像融合研究[J]. 水电能源科学, 2007, 25(4): 72-75
作者姓名:曾致远  陈少辉  王乘  鄢铁平
作者单位:1. 华中科技大学,数字化工程与仿真中心,湖北,武汉,430074
2. 湖北省水土保持监测中心,湖北,武汉,430070
摘    要:针对退化图像空间分辨率较低的问题,提出了一种基于均方能量的多分辨率图像融合方法。首先对图像进行二层小波变换,然后根据所得到的高频小波系数的统计特征来定义均方能量,并以此作为图像融合测度来对退化图像进行多分辨率特征融合。试验结果表明,融合后的图像在保留细节信息和光谱信息上均能获得较好的效果。

关 键 词:图像融合  小波分析  图像处理
文章编号:1000-7709(2007)04-0072-04
收稿时间:2007-04-09
修稿时间:2007-04-092007-04-16

Degenerative Image Fusion Based on the Mean Square Energy
ZENG Zhiyuan,CHEN Shaohui,WANG Cheng,YAN Tieping. Degenerative Image Fusion Based on the Mean Square Energy[J]. International Journal Hydroelectric Energy, 2007, 25(4): 72-75
Authors:ZENG Zhiyuan  CHEN Shaohui  WANG Cheng  YAN Tieping
Affiliation:1. Digital Eng. Research Center, HUST, Wuhan 430074, China ; 2. The Soil and Water Conservation Monitoring Center of Hubei,Wuhan 430070,China
Abstract:Aiming at the shortcomings of low spatial resolution in degenerative image,a degenerative image fusion method based on the mean square energy is proposed in this paper.Firstly two-layer wavelet transform is used to handle image.Secondly the mean square energy is defined by statistical feature of high frequency wavelet factors.It takes the mean square energy as measure of feature selection to carry out degenerative images fusion.The experiments show that the fused images obtain better results in terms of both preserving spectral information and spatial information of the degenerative images.
Keywords:image fusion  wavelet analysis  image process
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