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Image fusion has been over-studied recently. Nevertheless, few works aim to how to evaluate the performance of image fusion algorithms. In this paper, we extend the work in image quality evaluation to a novel metric for objective evaluation of image fusion. Firstly the input images and the result image are converted into local sensitive intensity (LSI) by Radon transform. Then we use the sensitive...
Pixel-level image fusion has been investigated in various applications and many algorithms have been proposed. However, few authors have addressed the problem of how to evaluate the performance of those algorithms. In this paper, we propose a structure similarity based objective metric for image fusion, which evaluates the similarity of the gradient fields between the source images and the fused result...
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