基于引导滤波二尺度分解的红外与可见光图像融合

Two-scale Image Fusion of Visible and Infrared Images Based on Guided Filtering Decomposition

为了降低多尺度分解融合算法的复杂性,并提高融合图像适应人类视觉特点,本文提出一种基于引导滤波二尺度分解的红外与可见光图像融合的方法。首先利用引导滤波对可见光图像实施增强的图像预处理,然后利用引导滤波将源图像分解为基础层和细节层。在细节层的融合规则中我们采用能量保护和细节提取的方法,最后将融合后的细节层与基础层合成融合结果。实验结果表明所给方法在提高视觉感知、细节处理、边缘保护等方面都有良好的效果。本文最后还讨论了可见光图像增强对融合方法的影响:从实验数据可知,增强可以提升融合效果,但在图像融合中融合方法才是关键。

We proposed a two-scale image-fusion method for infrared and visible light image fusion based on guided filtering to reduce the complexity of multi-scale decomposition fusion algorithms and improve the adaptability of fused images to human visual characteristics.First,we used guided filtering to enhance the visible image and decomposed the source images into base and detail layers using guided filtering.In the fusion rules of the detail layer,we adopted the energy protection methods and detail extraction.Finally,we combined the fused detail layer with the base layer to synthesize the fusion results.The experimental results showed that the proposed method improves the visual effect,detail processing,and edge protection.We discussed the impact of visible image enhancement on fusion methods from experimental data.Enhancement can improve the fusion effect,but the fusion method is key in image fusion.