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基于Contourlet 系数相关性的图像融合算法

发表时间:2016-05-31  浏览量:1674  下载量:772
全部作者: 吕巍巍,许建龙
作者单位: 浙江理工大学信息学院
摘 要: 研究将图像进行Contourlet分解后系数间的相关性,通过比较3 种相关性系数在图像边缘特征以及纹理提取的效果发现,高频分解系数采用相邻最大子节点区域相关系数和能量权重来设计融合规则,低频分解系数则通过加权平均的方法进行融合。最后通过Contourlet 重构得到融合图像。实验结果表明,得到的融合图像较好地刻画了图像的边缘和纹理信息。
关 键 词: 计算机应用;图像融合;Contourlet 变换;Contourlet 系数相关性
Title: Image fusion algorithm based on correlation of Contourlet coefficients
Author: LÜ Weiwei, XU Jianlong
Organization: School of Informatics, Zhejiang Sci-Tech University
Abstract: In this paper, coefficients correlation of an image decomposed by Contourlet transform is studied. Comparing the effects of edge features and textures extracted respectively with the aid of 3 correlation coefficients, neighboring-maxima child node correlation coefficients combined with energy weight is used as the fusion rule for high frequency decomposition coefficients. Low frequency coefficients are fused by the method of weighted. And then, the fused image can be obtained by inverse Contourlet transform. Experimental results show that the fused image efficiently represents the edge and texture information.
Key words: computer applications; image fusion; Contourlet transform; Contourlet coefficient correlation
发表期数: 2016年5月第10期
引用格式: 吕巍巍,许建龙. 基于Contourlet 系数相关性的图像融合算法[J]. 中国科技论文在线精品论文,2016,9(10):981-987.
 
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