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Effective algorithm based on Fourier transform for the passive THz image quality enhancement

机译:基于傅立叶变换的有效算法用于无源太赫兹图像质量增强

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摘要

We propose new approach for THz image quality enhancing using correlation function (convolution function) between Fourier transform of the image under consideration and Fourier transform of a standard image which can be enough complex. It is very important to stress that a standard image choosing allows us to remove essentially spurious parts of the image. We discuss one more possibility to remove noise from background of the image as well as possibility of the image decomposition and its reconstruction.
机译:我们提出了一种新的方法来提高THz图像质量,该方法使用考虑中的图像的傅立叶变换与标准图像的傅立叶变换之间的相关函数(卷积函数),可能会非常复杂。需要强调的是,选择标准图像可以使我们去除图像上本质上虚假的部分,这一点非常重要。我们讨论了另一种去除图像背景噪声的可能性,以及图像分解和重建的可能性。

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