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A novel multifocus image fusion scheme based on pixel significance using wavelet transform

机译:基于使用小波变换的像素意义的新型多焦点图像融合方案

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In this paper, we propose a novel fusion rule for combining multifocus images of a scene by taking their weighted average in wavelet domain. The weights are decided adaptively by computing significance of the pixel using information available at finer resolution bands such that the proposed significance depends on the strength of edges giving more weightage to pixel with sharper neighborhood. The performance have been extensively tested on several pairs of multifocus images and compared quantitatively with various existing methods. The analysis shows that the proposed method increases the quality of the fused image significantly, both visually and in terms quantitative parameters, by achieving major reduction in artefacts.
机译:在本文中,我们提出了一种新的融合规则,用于通过在小波域中进行加权平均值来组合场景的多焦点图像。 通过在更精细分辨率频带可用的信息计算像素的意义,自适应地确定权重,使得所提出的意义取决于边缘的强度,其具有更高的邻域的像素。 在几对多方图像上广泛测试了性能,并用各种现有方法定量比较。 分析表明,通过实现人工制品的主要减少,所提出的方法显着地增加了融合图像的质量,在视觉上和在术语中。

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