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Real-Time Infrared and Visible Image Fusion System and Fusion Image Evaluation

机译:实时红外和可见图像融合系统和融合图像评估

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摘要

A real-time infrared and visible image fusion system is developed. This system consists of detector system, image processing system, transmission system, display system and control system. Image processing system is based on FPGA and DSP with the function of image fusion. A "contrast stretching" grayscale fusion method and the "color transfer" color fusion method in YCrCb space is applied in this system. To evaluate both grayscale and color fusion images, a color variety metric is proposed. This metric is based on color difference gradient in CIELAB color space. Two experiments were carried out using the developed system day and night. The experimental results prove that: first, this system could improve target detection because fusion images have more information than source images. Secondly, the proposed metric is meaningful and effective since it correspond well with human perception.
机译:开发了一个实时红外和可见图像融合系统。该系统由探测器系统,图像处理系统,传输系统,显示系统和控制系统组成。图像处理系统基于FPGA和DSP,具有图像融合功能。在该系统中应用了“对比度拉伸”灰度熔合方法和“颜色传递”颜色融合方法。为了评估灰度和颜色融合图像,提出了一种颜色的彩色度量。该度量基于CIELAB颜色空间中的色差梯度。使用发达的系统日夜进行两次实验。实验结果证明:首先,该系统可以改善目标检测,因为融合图像具有比源图像更多的信息。其次,拟议的指标是有意义的,有效,因为它与人类感知相同。

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