基于冗余小波变换的灰度多聚焦图像融合方法  

Gray Multi-Focus Image Fusion Based on Redundant Wavelet Transform

作　　者：董佳鹏 何建忠[1] 

机构地区：[1]上海理工大学光电信息与计算机学院,上海200093

出　　处：《电子科技》2015年第12期100-103,共4页Electronic Science and Technology

摘　　要：为弥补Mallat算法正交变换的缺陷以及获得更为有效的图像融合方法。文中给出了一种基于冗余小波变换的灰度多聚焦图像融合算法进行图像融合,选取不同焦点的灰度源图进行冗余小波变换。根据高低频系数特点,分别引入区域向量范数和局部对比度的概念,构建新的融合规则的算法。实验证明与其他融合算法相比文中算法具有更好的有效性与准确性。This paper presents a gray multi-focus image fusion algorithm based on redundant wavelet transform for more efficient image fusion. Different focus gray source images are selected for redundant wavelet transform. The concepts of regional and local contrast vector norm of the construction of new fusion rules of arithmetic are introduced according to the characteristics of frequency coefficients respectively. Experiments show that the proposed method offers better efficiency and accuracy than other fusion algorithms.

关 键 词：图像融合 冗余小波变换 多聚焦 区域向量范数 局部对比 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]