文件名称:Multifocusimage
- 所属分类：
- 图形图像处理(光照,映射..)
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- 上传时间：
- 2012-11-26
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- 178kb
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- 0次
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- 程**
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提出了一种基于第二代曲波变换的多聚焦图像融合方法。将两幅源多聚焦图像分别进行第二代曲波变换分解，得到各自的低频
子带系数和各带通方向子带系数；采用一定的融合规则对曲波变换系数进行组合得到融合图像的曲波系数；最后对得到的曲波系数进行曲波
重构得到融合图像。实验结果表明，该方法的融合效果明显优于常见的融合方法-Proposed a second generation curvelet transform based multi-focus image fusion method. Two multi-focus image will be the source for the second generation curvelet transform were decomposed into their low-frequency sub-band coefficients and the band-pass directional subband coefficients with certain fusion rules of the curvelet transform coefficients of fused image is obtained by combining the music wave coefficient Finally, curvelet coefficients obtained by curvelet reconstruct the fused image. Experimental results show that the fusion is better than the common fusion
子带系数和各带通方向子带系数；采用一定的融合规则对曲波变换系数进行组合得到融合图像的曲波系数；最后对得到的曲波系数进行曲波
重构得到融合图像。实验结果表明，该方法的融合效果明显优于常见的融合方法-Proposed a second generation curvelet transform based multi-focus image fusion method. Two multi-focus image will be the source for the second generation curvelet transform were decomposed into their low-frequency sub-band coefficients and the band-pass directional subband coefficients with certain fusion rules of the curvelet transform coefficients of fused image is obtained by combining the music wave coefficient Finally, curvelet coefficients obtained by curvelet reconstruct the fused image. Experimental results show that the fusion is better than the common fusion
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一种基于第二代曲波变换的多聚焦图像融合方法.kdh