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基于梯度选取规则的小波变换在图像融合中的研究
引用本文:李晖晖,郭雷,刘航.基于梯度选取规则的小波变换在图像融合中的研究[J].计算机工程与应用,2005,41(12):76-78.
作者姓名:李晖晖  郭雷  刘航
作者单位:西北工业大学自动化学院,西安,710072
摘    要:该文用基于梯度选取的小波变换实现SAR与可见光图像的融合,在不同频率域的小波系数选取规则上引入区域平均梯度和全局梯度,对小波系数不是简单丢弃,而是加权叠加。给出了图像融合结果的定性评价,并用熵等评价参数进行了定量评价,实验取得了较好的结果。

关 键 词:小波变换  图像融合  梯度熵
文章编号:1002-8331-(2005)12-0076-03
修稿时间:2004年7月1日

Research on Image Fusion Using Wavelet Transform Based on Gradient Selective Rule
Li Huihui,Guo Lei,Liu Hang.Research on Image Fusion Using Wavelet Transform Based on Gradient Selective Rule[J].Computer Engineering and Applications,2005,41(12):76-78.
Authors:Li Huihui  Guo Lei  Liu Hang
Abstract:In this paper,the fusion of SAR and optical images has been realized using wavelet transform based on gradient selective rule,the computation of local average gradient and global gradient is introduced in the process of selecting wavelet coefficient in different frequency band,the wavelet coefficient is not simply discarded but added with different weights.The qualitative assessment of the result of fusion is presented and the quantitative assessment is also presented using the evaluation parameter of entropy and so on,the experimental result is encouraging.
Keywords:wavelet transform  image fusion  gradient  entropy
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