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In the past few decades, image fusion and its performance evaluation have attracted considerable research attention. However, it is still hard to objectively evaluate the fusion performance due to the diversity of image sources and the motivations for fusion. In this paper, we extend the work in image quality evaluation [8] to a novel metric for objective evaluation of image fusion. The input images...
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...
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