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The use of the contrast sensitivity function in the perceptual quality assessment of fused image

机译:对比敏感度功能在融合图像感知质量评估中的使用

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摘要

Numerous algorithms have been proposed to fuse multi-sensor images for a diverse range of applications. The fused result is also presented as an image, which is more informative than any individual input. Accordingly, a number of fusion metrics are developed to assess the performance of the fusion operation or the quality of the fused image. Among these metrics, two approaches, which are based on human visual system models, employ the contrast sensitivity function (CSF) in its implementations. In CSF, viewing distance is a crucial parameter determining the filtering bandwidth. However, the effect of viewing distance was not discussed in the available literature. This letter is to clarify the use of CSF in the human perception-based fusion metrics. The experimental results illustrate how the viewing distance affects the fusion quality assessment and Matlab™ code is provided in this letter.
机译:已经提出了许多算法来融合多传感器图像以用于各种应用。融合的结果也以图像的形式呈现,比任何单独的输入都提供更多的信息。因此,开发了许多融合度量以评估融合操作的性能或融合图像的质量。在这些指标中,有两种基于人类视觉系统模型的方法在其实现中采用了对比敏感度函数(CSF)。在CSF中,观看距离是决定过滤带宽的关键参数。但是,现有文献中没有讨论观看距离的影响。这封信是为了阐明在基于人类感知的融合指标中使用CSF的方法。实验结果说明了可视距离如何影响融合质量评估,在这封信中提供了Matlab™代码。

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