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Real-time computer processing of image from THz passive imaging device for improving of images

机译:从THz被动成像装置改进图像的图像实时计算机处理

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We demonstrate real-time computer code improving significantly the quality of images captured by the passive THz imaging system. The code is not only designed for a THz passive device: it can be applied to any kind of such devices and active THz imaging systems as well. We applied our code for computer processing of images captured by various passive THz imaging devices manufactured by different companies. The performance of current version of the computer code is greater than one image per second for a THz image having more than 5000 pixels and 24 bit number representation. Processing of THz single image produces about 20 images simultaneously corresponding to various spatial filters. The computer code allows increasing the number of pixels for processed images without noticeable reduction of image quality. The performance of the computer code can be increased many times using parallel algorithms for processing the image. We develop original spatial filters which allow one to see objects with sizes less than 2 cm. The digital imagery is produced by passive THz imaging devices which captured the images of objects hidden under opaque clothes. For images with high noise we develop an approach which results in suppression of the noise after using the computer processing and we obtain the good quality image. The results demonstrate the high efficiency of our approach for the detection of hidden objects and they are a very promising solution for the security problem.
机译:我们展示了实时计算机代码,显着提高了被动THz成像系统捕获的图像的质量。代码不仅设计用于THz被动设备:它也可以应用于任何类型的这些设备和活动THz成像系统。我们应用了由不同公司制造的各种被动THZ成像设备捕获的图像的计算机处理代码。当具有超过5000像素和24位数字表示的THz图像,计算机代码的当前版本的计算机代码的性能大于每秒。 THz单个图像的处理产生约20个图像,同时对应于各种空间滤波器。计算机代码允许增加处理的图像的像素数而不明显图像质量降低。使用并行算法可以多次增加计算机代码的性能来处理图像。我们开发了原始空间过滤器,允许一个人看到尺寸小于2厘米的物体。数字图像由被动THz成像设备生产,该成像设备捕获隐藏在不透明衣服下的物体的图像。对于具有高噪声的图像,我们开发一种方法,这导致使用计算机处理后抑制噪声,并获得了良好的质量图像。结果证明了我们检测隐藏物体的方法的高效率,并且它们是安全问题的非常有希望的解决方案。

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