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Enhancement System of Nighttime Infrared Video Image and Visible Video Image

机译:夜间红外视频图像和可见视频图像增强系统

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Visibility of Nighttime video image has a great significance for military and medicine areas, but nighttime video image has so poor quality that we can't recognize the target and background. Thus we enhance the nighttime video image by fuse infrared video image and visible video image. According to the characteristics of infrared and visible images, we proposed improved sift algorithm and αβ weighted algorithm to fuse heterologous nighttime images. We would deduced a transfer matrix from improved sift algorithm. The transfer matrix would rapid register heterologous nighttime images. And the αβ weighted algorithm can be applied in any scene. In the video image fusion system, we used the transfer matrix to register every frame and then used αβ weighted method to fuse every frame, which reached the time requirement soft video. The fused video image not only retains the clear target information of infrared video image, but also retains the detail and color information of visible video image and the fused video image can fluency play.
机译:夜间视频图像的可见性对于军事和医学领域具有重要意义,但是夜间视频图像的质量太差,无法识别目标和背景。因此,我们通过融合红外视频图像和可见视频图像来增强夜间视频图像。根据红外和可见光图像的特点,提出了改进的筛选算法和αβ加权算法融合异源夜间图像。我们将从改进的筛选算法中推导出一个传递矩阵。传输矩阵将快速记录异源夜间图像。并且αβ加权算法可以应用于任何场景。在视频图像融合系统中,我们使用传输矩阵对每一帧进行配准,然后使用αβ加权方法对每一帧进行融合,从而达到了软视频的时间要求。融合视频图像不仅保留了红外视频图像的清晰目标信息,而且还保留了可见视频图像的细节和颜色信息,并且融合视频可以流畅播放。

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