Pixel- and region-based image fusion with complex wavelets
Pixel- and region-based image fusion with complex wavelets
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DOI：
10.1016/j.inffus.2005.09.006
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发表时间：
2007-04-01
影响因子：
18.6
通讯作者：
Canagarajah, Nishan
中科院分区：
文献类型：
--
作者：
Lewis, John J.;O'Callaghan, Robert J.;Canagarajah, Nishan
回顾了几种基于像素的图像融合算法(使用平均、对比度金字塔、离散小波变换和双树复小波变换(DT-CWT)进行融合)，并与一种新的基于区域的图像融合方法进行了比较，该方法通过定义各种融合规则来增加灵活性。DT-CWT用于联合或单独分割输入图像的特征，以产生区域地图。计算每个区域的特征，并使用基于区域的方法在小波域中逐区域地融合图像。这种方法给出了与基于像素的融合方法相当的结果，如使用许多度量所示。尽管复杂性增加，但基于区域的方法比基于像素的方法具有许多优势。这些包括：使用更智能的语义融合规则的能力；以及对具有某些属性的区域进行衰减或突出的能力。(C)2005 Elsevier B.V.保留所有权利。
A number of pixel-based image fusion algorithms (using averaging, contrast pyramids, the discrete wavelet transform and the dual-tree complex wavelet transform (DT-CWT) to perform fusion) are reviewed and compared with a novel region-based image fusion method which facilitates increased flexibility with the definition of a variety of fusion rules. A DT-CWT is used to segment the features of the input images, either jointly or separately, to produce a region map. Characteristics of each region are calculated and a region-based approach is used to fuse the images, region-by-region, in the wavelet domain. This method gives results comparable to the pixel-based fusion methods as shown using a number of metrics. Despite an increase in complexity, region-based methods have a number of advantages over pixel-based methods. These include: the ability to use more intelligent semantic fusion rules; and for regions with certain properties to be attenuated or accentuated. (C) 2005 Elsevier B.V. All rights reserved.