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一种使用曲波变换的多聚焦图像融合方法
引用本文:储彬彬,何晓卒,路刚,漆德宁. 一种使用曲波变换的多聚焦图像融合方法[J]. 电子质量, 2009, 0(8): 4-6,9
作者姓名:储彬彬  何晓卒  路刚  漆德宁
作者单位:解放军炮兵学院信息工程教研室,安徽,合肥,230031;解放军炮兵学院计算机教研室,安徽,合肥,230031
摘    要:提出一种使用曲线波(Curvelet)变换的多聚焦图像融合方法:首先采用非均匀采样的快速傅里时变换(FDCTUSFFr)实现方法的二代Curvelet变换,对待融合图像进行分解;然后对不同尺度和方向上的曲波系数采用设计的融合策略进行融合;最后通过融合系数重构得到结果。实验结果表明该方法在主观感觉和客观评价指标上较小波分析的融合算法均有一定的提高。

关 键 词:图像融合  多尺度儿何分析  曲线波变换  小波变换

Multi-focus Image Fusion Scheme Based on Curvelet Transform
Chu Bin-bin,He Xiao-zu,LU Gang,Qi De-ning. Multi-focus Image Fusion Scheme Based on Curvelet Transform[J]. Electronics Quality, 2009, 0(8): 4-6,9
Authors:Chu Bin-bin  He Xiao-zu  LU Gang  Qi De-ning
Affiliation:1.Information Engineering T&R Section of Artillery Academy;PLA;Anhui Hefei 230031;2.Computer Department of Artillery Academy;Anhui Hefei 230031
Abstract:A multi-focus image fusion scheme based on Curvelet transform is put forward in this paper. First, the input multi-focus images are decomposed by Curvelet transform, which is realized by Unequally-Spaced Fast Fourier Transforms. Second, the decomposed coefficients in different scales and directions , are fused by corresponding fusion rules. The fusion image is acquived at last by composing the fused coefficients. Experiments show that this scheme have acquired well effects both in the subjective vision aspe...
Keywords:Image Fusion  MGA  Curvelet Transform  Wavelet Transform  
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