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The verification model of multi-focus image fusion by simulating subjective evaluation
Soft Computing ( IF 4.1 ) Pub Date : 2019-08-12 , DOI: 10.1007/s00500-019-04263-1
Weitong Li , Ruijie Song

Abstract

We present a model to simulate the subjective evaluation and compare various fusion algorithms. First, we produce an all-focus image and two multi-focus images by the help of two filters. Second, we fuse two multi-focus images with two representative algorithms WT and CT. Third, we decide the optimal fusion rules of WT and CT by comparing the fused images with an all-focus image. Finally, we improve the performances of fused images by combining several algorithms. Simulation shows the verification model can compare various fusion algorithms or rules. Meanwhile, our fusion model can get better performances than other algorithms or rules.



中文翻译:

模拟主观评价的多焦点图像融合验证模型

摘要

我们提出一个模型来模拟主观评估并比较各种融合算法。首先,我们借助两个滤镜生成一个全焦点图像和两个多焦点图像。其次,我们将两个多焦点图像与两个代表性算法WT和CT融合在一起。第三,我们通过比较融合图像和全聚焦图像来确定WT和CT的最佳融合规则。最后,我们通过结合几种算法来提高融合图像的性能。仿真显示验证模型可以比较各种融合算法或规则。同时,我们的融合模型可以获得比其他算法或规则更好的性能。

更新日期:2020-03-20
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