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基于小波变换与局部离散度的多聚焦图像融合算法
引用本文:田江华,熊邦书,施琴红.基于小波变换与局部离散度的多聚焦图像融合算法[J].南昌航空工业学院学报,2006,20(3):20-22,57.
作者姓名:田江华  熊邦书  施琴红
作者单位:南昌航空工业学院 江西南昌330063
摘    要:提出了一种基于小波变换与局部离散度的多聚焦图像融合算法。首先对不同聚焦图像进行小波变换,然后采用局部离散度准则对各个方向上的高频系数进行融合,采用重要度准则对低频系数进行融合,最后对融合后的小波系数进行重构,得到了很好的融合图像。实验结果表明,融合效果优于取绝对值大的小波系数和区域方差准则的融合算法。

关 键 词:多聚焦图像融合  小波变换  局部离散度  重要度
文章编号:1001-4926(2006)03-0020-03
收稿时间:2006-06-12
修稿时间:2006-06-12

Multi -focus image fusion based on wavelet transform and local dispersion
TIAN Jiang-hua,XIONG Bang-shu,SHI Qin-hong.Multi -focus image fusion based on wavelet transform and local dispersion[J].Journal of Nanchang Institute of Aeronautical Technology(Natural Science Edition),2006,20(3):20-22,57.
Authors:TIAN Jiang-hua  XIONG Bang-shu  SHI Qin-hong
Institution:Nanchang Institute of Aeronautical Technology, Nanchang, Jiangxi 330063 China
Abstract:A multi-focus image fusion algorithm based on wavelet transform and local dispersion is proposed.At first,the multi-focus images were decomposed by the wavelet transform.Then,the high frequency coefficients of each direction were fused according to local dispersion rule,and the low frequency coefficients were fused according to weightiness rule.Finally,the fused image was obtained by taking inverse wavelet transform.The experimental results show that the performance of the proposed method outperforms the methods based on selecting large absolute wavelet coefficients and using local deviation rule.
Keywords:multi-focus image fusion  wavelet transform  local dispersion  weightiness
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