基于区域能量和对比度的小波图像融合算法研究  

Research on Wavelet Image Fusion Algorithm Based on Region Energy and Contrast

作　　者：王世立[1] WANG Shili(No.91404 Troops of PLA,Qinhuangdao 066000)

机构地区：[1]91404部队,秦皇岛066000

出　　处：《舰船电子工程》2020年第5期48-51,共4页Ship Electronic Engineering

摘　　要：同时引入区域能量和对比度,给出一种改进的小波图像融合算法。对源图像进行小波分解,得到各自的高频和低频系数,将高频部分选取的区域能量和对比度较大的作为融合图像高频小波系数,采用加权平均方法得到融合图像低频小波系数,然后经小波重构得到融合图像。针对多聚焦图像进行的仿真实验结果显示,所给的融合算法可改进基于区域能量或基于对比度的小波图像融合算法性能,视觉上融合图像对比度有所改善,客观上图像的熵得到提高。The concepts of region energy in company with contrast are introduced together to improve the wavelet image fusion algorithm.The images are decomosed with wavelet analysis to get their low frequency components and high frequency components,the high frequency components are fused in accordance with taking the larger values of region energy and contrast,and the low fre⁃quency components are fused on average value,then the fusion image is reconstructed with the method of wavelet transform.The im⁃proved algorithm is used on fusing some multi-focus images,and the simulation experiment results show that its performance is bet⁃ter than wavelet image fusion algorithms based on regional energy or contrast only,the contrast of the fusion image is improved on the visual effect,the entropy of the fusion image is improved as well.

关 键 词：图像融合 小波变换 区域能量 对比度 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]