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

机译:一种基于像素重要性的小波变换多焦点图像融合新方案

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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,我们提出了一种新颖的融合规则,该融合规则是通过以小波域中的加权平均值来组合场景的多焦点图像。通过使用在较细分辨率带上可用的信息来计算像素的重要性,来自适应地确定权重,从而使拟议的重要性取决于边缘的强度,从而为具有更清晰邻域的像素提供更多权重。该性能已在几对多焦点图像上进行了广泛测试,并与各种现有方法进行了定量比较。分析表明,所提出的方法通过显着减少伪像,无论是在视觉上还是在定量参数方面,均显着提高了融合图像的质量。

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