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提升静态小波域内多聚焦图像融合算法
引用本文:李华锋,柴毅,张晓阳.提升静态小波域内多聚焦图像融合算法[J].光电工程,2011,38(3):131-137,144.
作者姓名:李华锋  柴毅  张晓阳
作者单位:重庆大学自动化学院,重庆,400044
基金项目:国家自然科学基金,教育部博士点基金,中央高校基本科研业务费项目资助
摘    要:针对同一场景的多聚焦图像融合问题,提出了一种新的基于提升静态小波变换(Lifling Stationary Wavelet Transform,LSWT)的多尺度积图像融合算法.该方法在选择融合图像的低频子带系数时定义了一种新的改进拉普拉斯能量和(Sum Modified-laplacian,SML),设计了一种基于拉...

关 键 词:图像融合  提升静态小波  多尺度积  拉普拉斯能量和

Multi-focus Image Fusion Algorithm in Lifting Stationary Wavelet Domain
LI Hua-feng,CHAI Yi,ZHANG Xiao-yang.Multi-focus Image Fusion Algorithm in Lifting Stationary Wavelet Domain[J].Opto-Electronic Engineering,2011,38(3):131-137,144.
Authors:LI Hua-feng  CHAI Yi  ZHANG Xiao-yang
Affiliation:LI Hua-feng,CHAI Yi,ZHANG Xiao-yang ( College of Automation,Chongqing University,Chongqing 400044,China )
Abstract:For the fusion of multi-focus images of the same scene, a novel algorithm is proposed based on the multiscale products in lifting stationary wavelet domain. The selection principles of the low frequency subband coefficients and bandpass subband coefficients are discussed respectively. When choosing the low frequency subband coefficients, we present a scheme based on a new sum modified-laplacian combined with the selection and weighted scheme. When choosing the high frequency subband coefficients, local modi...
Keywords:image fusion  lifting stationary wavelet transform (LSWT)  multiscale products  sum modified-laplacian(SML)  
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