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一种新的基于局部小波统计特性的多聚焦图像融合算法
引用本文:汪强,刘钢钦.一种新的基于局部小波统计特性的多聚焦图像融合算法[J].长沙大学学报,2006,20(2):72-74.
作者姓名:汪强  刘钢钦
作者单位:长沙大学计算机科学与技术系,湖南,长沙,410003
摘    要:改进了局部小波对比度的定义.提出一种利用小波变换实现多聚焦图像融合的方法.基于新的对比度的融合过程,由源图像上计算的视觉重要性构造融合图像对应的小波系数,因而融合图像更符合人的视觉特性.仿真结果利用熵、交叉熵、均方根误差对该方法的融合性能进行了评价与分析,实验结果表明,该融合方法充分保留图像的细节信息,并具有良好的稳定性.

关 键 词:图像融合  小波变换  小波对比度
文章编号:1008-4681(2006)02-0072-03
收稿时间:2005-10-28
修稿时间:2005-11-23

New Multi-Focus Image Fusion Based on Local Statistic of Wavelet Contrast
WANG Qiang,LIU Gangqin.New Multi-Focus Image Fusion Based on Local Statistic of Wavelet Contrast[J].Journal of Changsha University,2006,20(2):72-74.
Authors:WANG Qiang  LIU Gangqin
Institution:Department of Computer Science and Technology, Changsha University, Changsha 410003, China
Abstract:The definition of the local wavelet contrast is altered.A novel multi-focus image fusion scheme based on multiscale decomposition is presented.According to the new wavelet contrast definition,the wavelet coefficients of the fused image are constructed by using the source image's visual sensitivity.So the result is more suitable for human vision.With the use of the parameters such as entropy,cross entropy,root mean square error,the performance of the fusion scheme is evaluated and analyzed.The experimental results show that the fusion scheme both preserves the source images' details and improves the algorithm's stability.
Keywords:image fusion  wavelet transform  wavelet contrast  
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