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Fusion performance measures and a lifting wavelet transform based algorithm for image fusion

机译:融合性能测量和基于升降小波变换的图像融合算法

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This paper introduces the concept of Fusion Symmetry (FS) as a measure of evaluating performance of Fusion algorithms. Fusion Symmetry measure quantifies the relative distance (in terms of mutual information) of the Fused image with respect to input images. The smaller the FS the more symmetric is the fused image, i.e., it captures information from both the input images. Also the traditional criterion of maximizing the joint mutual information is also quantified and a definition called Fusion Factor is evolved. An algorithm, for image fusion using Lifting Wavelet filter is proposed. In this algorithm fusion is performed in transformed domain. The performance of this algorithm is compared with that obtained using Average, Laplacian pyramid based approaches and guidelines on selection of an appropriate image fusion algorithm for different sensor conditions are evolved.
机译:本文介绍了融合对称性(FS)的概念,作为评估融合算法性能的衡量标准。融合对称性测量量化熔融图像的相对距离(在互信息方面)相对于输入图像。 FS越越多对称是熔融图像,即,它捕获来自输入图像的信息。此外,还量化了最大化联合互信息的传统标准,并且演化了称为融合因子的定义。提出了一种算法,用于使用提升小波滤波器的图像融合。在该算法中,在变换域中执行融合。将该算法的性能与使用平均值获得的方法进行比较,基于Laplacian金字塔的方法和关于不同传感器条件的适当图像融合算法的选择的指导。

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