The near-infrared band of the electromagnetic spectrum has become an important tool for enhancing image quality. Commonly, outdoor color images are degraded by bad weather conditions that lead to a loss of contrast and fine details in color images since light scattering produces attenuation and smoothing effects. Despite the fact that current Visible-NIR fusion methods achieve image enhancement features, some issues like edge preservation and color oversaturation still need to be addressed. In this work, a method that performs a selective Visible-NIR fusion of the most relevant image structures through top-hat transform is proposed. The performance of the method is evaluated by quantifying the new information added to the image and the change in color. Experimental results show a high degree of detail in preserving the edges while maintaining the color of the image. Moreover, the proposed method demonstrates that the image quality improvements were not significantly affected by a change in the color space.

中文翻译：

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基于顶帽子变换的可见光-近红外图像融合

电磁波谱的近红外波段已成为提高图像质量的重要工具。通常，室外彩色图像会由于恶劣的天气条件而退化，这会导致彩色图像中对比度和精细细节的损失，因为光散射会产生衰减和平滑效果。尽管当前的Visible-NIR融合方法实现了图像增强功能，但仍然需要解决一些问题，例如边缘保留和颜色过饱和。在这项工作中，提出了一种通过礼帽变换对最相关的图像结构执行选择性可见-NIR融合的方法。通过量化添加到图像中的新信息和颜色变化来评估该方法的性能。实验结果表明，在保留边缘的同时保持图像色彩的高度细节。此外，所提出的方法表明，色彩空间的变化不会显着影响图像质量的改善。