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基于DT-CWT的像素级多分辨分析图像融合算法研究
引用本文:汪西原,高卫平.基于DT-CWT的像素级多分辨分析图像融合算法研究[J].宁夏大学学报(自然科学版),2009,30(1):42-45.
作者姓名:汪西原  高卫平
作者单位:1. 宁夏大学,物理电气信息学院,宁夏,银川,750021
2. 陕西师范大学,计算机科学学院,陕西,西安,710062
基金项目:国家自然科学基金,宁夏自然科学基金 
摘    要:提出基于对偶树复小波变换的像素级多分辨分析图像融合算法.对多聚焦图像和遥感影像的实验结果表明,本方法较基于离散小波变换和传统IHS变换的融合方法,保留了更多的光谱信息,而且提高了融合图像的空间细节信息.

关 键 词:对偶树复小波变换  图像融合  遥感图像  离散小波变换  评价参量

Research on Pixel-level Image Fusion Algorithm Based on Multiresolution Analysis DT-CWT
Wang Xiyuan,Gao Weiping.Research on Pixel-level Image Fusion Algorithm Based on Multiresolution Analysis DT-CWT[J].Journal of Ningxia University(Natural Science Edition),2009,30(1):42-45.
Authors:Wang Xiyuan  Gao Weiping
Institution:1.School of Physics and Electrical Information;Ningxia Uiversity;Yinchuan 750021;China;2.School of Computer Science;Shaanxi Normal University;Xi'an 710062;China
Abstract:This paper introduces a new method based on the dual-tree complex wavelet transform which represents the edges better than discrete wavelet transform.The experiment results of multifocus image and remote sensing image show that the proposed method is better than wavelet and IHS transform methods.It preserves more spectral information and spatial details.
Keywords:dual tree complex wavelet transform (DT-CWT)  image fusion  remote sensing image  discrete wavelet transform(DWT)  evaluation index
本文献已被 CNKI 维普 万方数据 等数据库收录!
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