基于小波变换的图像融合算法研究  

Research on image fusion algorithm based on wavelet transform

作　　者：刘娜[1] 田大为 LIU Na;TIAN Dawei(Center of Health Administration and Development Studies,Hubei University of Medicine,Shiyan 442000,China;Dongfeng Affiliated Hospital of Hubei University of Medicine,Shiyan 442000,China)

机构地区：[1]湖北医药学院卫生管理与卫生事业发展研究中心,湖北十堰442000 [2]湖北医药学院附属东风医院,湖北十堰442000

出　　处：《现代电子技术》2018年第7期71-74,79,共5页Modern Electronics Technique

基　　金：湖北省高校人文社科重点研究基地开放基金资助(2015YB005)~~

摘　　要：图像融合是改善图像质量的一个重要途径,传统算法难以正确地对图像进行有效融合。为了提高图像融合的质量,提出一种基于小波变换的图像融合算法。首先对2幅原始图像进行小波变换,提取它们的小波系数,然后采用不同的规则对不同层次的小波系数进行融合,并采用小波变换对融合的系数进行融合,最后采用不同类型对图像融合结果进行测试和分析。结果表明,小波变换融合后的图像更加自然、清晰,提高了图像的信噪比,并且图像融合速度明显加快,获得了比对比算法更加理想的图像融合效果。The image fusion is an important way to improve the image quality,but the traditional algorithm is difficult to fuse the image effectively.In order to improve the quality of image fusion,an image fusion algorithm based on wavelet transform is proposed.Wavelet transform is performed for two original images to extract their wavelet coefficients.The different rules are used to fuse the wavelet coefficients at different levels,and then the wavelet transform is used to fuse the fused coefficients.The images with different types are adopted to test and analyze the image fusion results.The results show that the image after wavelet transform fusion is more natural and clearer,the proposed algorithm can improve the signal?to?noise ratio of the image,quicken the speed of image fusion,and can obtain more satisfactory image fusion effect than the comparing algorithms.

关 键 词：图像质量 小波变换 神经网络 加权融合 信噪比 图像融合 

分 类 号：TN911.73-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]