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Fusion of multi-resolution visible image and infrared images based on guided filter

机译:基于引导滤波器的多分辨率可见图像与红外图像融合

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Because of the poor lighting conditions at night time, visible images are often fused with corresponding infrared images for enhancement of the scenes in night vision. In this paper, a novel image fusion algorithm is presented for fusion of visible image and infrared image with different resolutions. The multiresolution image fusion is carried on by the following five steps: 1) different resolution images are transformed into the same resolution by use of wavelet transform; 2) to enhance the visibility of dark region content in the decomposed visible image, a novel night-vision enhancement method is presented based on guided filter; 3) the infrared image information is injected into the visible image through a multi-scale fusion approach based on guided filter; 4) inverse wavelet transform is used to achieve the fusion image; 5) to further improve the visibility of the fusion image, it is enhanced by use of an adaptive enhancement method.
机译:由于夜间的照明条件较差,通常将可见图像与相应的红外图像融合在一起,以增强夜视中的场景。本文提出了一种新颖的图像融合算法,用于融合不同分辨率的可见光图像和红外图像。多分辨率图像融合通过以下五个步骤进行:1)使用小波变换将不同分辨率的图像转换为相同分辨率; 2)为了增强分解后的可见图像中暗区内容的可见性,提出了一种基于导引滤波器的新型夜视增强方法。 3)通过基于导引滤波器的多尺度融合方法将红外图像信息注入可见图像; 4)利用小波逆变换实现融合图像; 5)为了进一步改善融合图像的可见性,通过使用自适应增强方法对其进行增强。

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