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

Parul Shah, T. V. Srikanth, S. N. Merchant, U. Desai
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引用次数: 16

Abstract

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.
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一种基于小波变换的像素显著性多焦点图像融合方法
本文提出了一种基于小波域加权平均的场景多焦图像融合规则。权重是通过使用在更精细的分辨率波段上可用的信息计算像素的重要度来自适应地确定的,这样所提出的重要度取决于边缘的强度,赋予具有更清晰邻域的像素更多的权重。在多对多聚焦图像上进行了广泛的性能测试,并与现有的各种方法进行了定量比较。分析表明,该方法通过大幅度减少伪影,在视觉和定量参数方面显著提高了融合图像的质量。
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Identification and discussion of open issues in perceptual video coding based on image analysis and completion Classification with invariant scattering representations Detection of repetitive patterns in near regular texture images Despeckling trilateral filter A novel multifocus image fusion scheme based on pixel significance using wavelet transform
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