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Study of objective evaluation of natural colour image fusion

机译:自然彩色图像融合的客观评价研究

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This paper presents the results of an investigation into objective evaluation of natural colour image fusion. Preserving true colour information is vital for natural appearance of fused images and measures of fusion success should take this into account either within their overall fusion performance or in explicit naturalness measures. We adopt the well known gradient based objective fusion evaluation framework that evaluates preservation of input gradients in the fused images to focus our investigation onto metric configurations and representation spaces for comparing true colour information between colour input and fused images. We propose and analyse several natural colour image fusion metric configurations and formulations and define explicit colour preservation models to evaluate preservation of colour information within the multisensor fusion context. Results on realistic multisensor colour data demonstrate the robustness of several metric configurations and their ability to correctly rank fusion algorithms. We also show that colour information contributes modestly to perceived fusion success and can even be misleading if not considered within the wider context of overall image structure.
机译:本文介绍了对自然彩色图像融合进行客观评估的调查结果。保留真实色彩信息对于融合图像的自然外观至关重要,融合成功的措施应在其整体融合性能或明确的自然性措施中予以考虑。我们采用了众所周知的基于梯度的客观融合评估框架,该框架评估融合图像中输入梯度的保存情况,从而将我们的研究重点放在度量配置和表示空间上,以比较彩色输入图像和融合图像之间的真实色彩信息。我们提出并分析了几种自然彩色图像融合度量配置和公式,并定义了显式的色彩保存模型,以评估多传感器融合环境中色彩信息的保存。逼真的多传感器颜色数据的结果证明了几种度量配置的鲁棒性以及它们对融合算法进行正确排序的能力。我们还表明,颜色信息对感知的融合成功做出了适度的贡献,如果在整体图像结构的更广泛范围内考虑不到的话,甚至会产生误导。

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