基于光照增强的红外与可见光图像融合方法

An Infrared and Visible Image Fusion Method Based on Illumination Enhancement

  • 摘要: 针对低照度可见光图像与红外图像存在的光照分布不均匀、亮度低、对比度不足、细节信息缺失等问题,提出了一种基于光照增强的红外与可见光融合方法。在光照增强阶段,首先对红外图像进行处理,采用特定的对数与指数函数对图像的低、中强度像素信息进行处理,增强图像的局部对比度。其次采用自适应多尺度Retinex算法,对低照度可见光图像的整体亮度进行增强,提高图像的细节特征信息和纹理,使其具备良好的可观性。然后利用梯度转移与总变差最小化方法将两幅增强后图像进行融合重建,获得最终的融合图像。通过实验证明,通过该方法获得的融合图像具有高对比度、像素分布均匀、细节特征清晰等特点,具有良好的外观可视性。

     

    Abstract: A fusion method for infrared and visible light based on light enhancement is proposed to address the issues of uneven light distribution, low brightness, insufficient contrast, and missing detail information in low light visible light images and infrared images. In the lighting enhancement stage, the infrared image is first processed, and specific logarithmic and exponential functions are used to process the low and medium intensity pixel information of the image, enhancing the local contrast of the image. Secondly, the adaptive multi-scale Retinex algorithm is adopted to enhance the overall brightness of low illumination visible light images, improve the detailed feature information and texture of the images, and make them have good observability. Then, using gradient transfer and total variation minimization methods, the two enhanced images are fused and reconstructed to obtain the final fused image. Through experiments, it has been proven that the fused images obtained through this method have high contrast, uniform pixel distribution, clear detail features, and good visual appearance.

     

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