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MMW and THz Images Denoising based on Adaptive CBM3D

机译:基于自适应CBM3D的MMW和THz图像去噪

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Over the past decades, millimeter wave and terahertz radiation has received a lot of interest due to advances in emission and detection technologies which allowed the widely application of the millimeter wave and terahertz imaging technology. This paper focuses on solving the problem of this sort of images existing stripe noise, block effect and other interfered information. A new kind of nonlocal average method is put forward. Suitable level Gaussian noise is added to resonate with the image. Adaptive color block-matching 3D filtering is used to denoise. Experimental results demonstrate that it improves the visual effect and removes interference at the same time, making the analysis of the image and target detection more easily.
机译:在过去的几十年中,由于发射和检测技术的进步,毫米波和太赫兹辐射引起了人们的极大兴趣,这使得毫米波和太赫兹成像技术得到了广泛的应用。本文着重解决这类图像存在条纹噪声,块效应和其他干扰信息的问题。提出了一种新的非局部平均方法。添加适当的高斯噪声电平以使图像产生共振。自适应颜色块匹配3D滤波用于降噪。实验结果表明,它在改善视觉效果的同时消除了干扰,使图像分析和目标检测更加容易。

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