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基于双树复小波变换的多聚焦图像融合算法研究
引用本文:宋瑾,石霏.基于双树复小波变换的多聚焦图像融合算法研究[J].现代电子技术,2010,33(2):104-108.
作者姓名:宋瑾  石霏
作者单位:1. 南京铁道职业技术学院苏州校区,江苏,苏州,215000
2. 苏州大学,电子信息学院,江苏,苏州,215021
摘    要:针对传统离散小波变换图像融合算法在图像特征表达上存在的不足,采用具有近似平移不变性和方向选择性的双树复小波变换对多聚焦图像进行多分辨率分解与重构,并对高频子带应用基于局部相似性度量的加权平均与选择相结合的融合策略。通过对实验结果的主客观分析,证明该方法得到的融合图像效果较好,优于基于传统小波变换的算法和局部能量取大的算法。

关 键 词:双树复小波  多聚焦图像  图像融合  高频子带

Multi-focus Image Fusion Based on Dual-tree Complex Wavelet Transform
SONG Jin,SHI Fei.Multi-focus Image Fusion Based on Dual-tree Complex Wavelet Transform[J].Modern Electronic Technique,2010,33(2):104-108.
Authors:SONG Jin  SHI Fei
Affiliation:SONG Jin1,SHI Fei2(1.Suzhou District of Nanjing Institute of Railway Technology,Suzhou,215000,China,2.School of Electronics & Information Engineering,Soochow University,215021,China)
Abstract:The dual-tree complex wavelet transform with near shift-invariance and directionality,which is used in multi-focus image fusion,in order to solve the problem of poor feature representation with existing discrete wavelet transform.Multi-resolution representation of the source images is obtained and combined to form the result image.For the high-frequency subbands,a local similarity measure is computed,based on which the fusion rule is selected using either a weighted average or the coefficient with higher lo...
Keywords:dual-tree complex wavelet transform  multi-focus image  image fusion  high-frequency subbands  
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