A Projection-Based Metric for the Quantitative Evaluation of Pixel-Level Image Fusion
A Projection-Based Metric for the Quantitative Evaluation of Pixel-Level Image Fusion
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DOI：
10.1109/icnc.2008.662
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发表时间：
2008-10
期刊：
影响因子：
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通讯作者：
Richang Hong;Jianxin Pang;Shanshan Li;Xiuqing Wu
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文献类型：
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作者：
Richang Hong;Jianxin Pang;Shanshan Li;Xiuqing Wu
像素级图像融合已经在各种应用中得到了研究，并且已经提出了许多算法。然而，很少有作者已经解决了如何评估这些算法的性能的问题。本文提出了一种新的像素级图像融合盲定量评价指标，不需要参考图像。首先，输入图像的信号特征被投影到它们的对应的融合图像，以获得基于投影的值（PV）。然后，我们使用结构失真（SD）强度来衡量有多少信息已经从每个源之间的PV的差异，融合结果转移。最后根据Weber-Fechner定律将所有SD对合并到一个表达式中。实验结果表明，我们提出的度量是符合主观评价和其他最近开发的像素级图像融合的盲评价指标。
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 novel metric for blind quantitative evaluation of pixel level image fusion, i.e., no reference image is needed. Firstly the signal characterization of input images are projected onto their counterparts of the fused image to obtain projection-based values (PVs). Then we use structure distortion (SD) intensity to measure how many information have been transferred from each source into fused result by the difference of PVs between them. Finally all the SD pairs are incorporated into one expression according to Weber-Fechner law. Experimental results demonstrate that our proposed metric is compliant with subjective evaluations and out performs other recently developed blind evaluation metrics of pixel-level image fusion.