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Analysis of some two dimensional functions using two dimensional Fourier transforms: Image reconstruction and physical significance

机译:使用二维傅立叶变换分析某些二维函数:图像重建和物理意义

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The Fourier transform can be thought of being the decomposition of the image into two dimensional spatial sinusoidal frequency components. Two dimensional Gaussian, Rectangular (Rect) and Circular (Circ) functions were created using two dimensional Fourier series and transform approximations. The Fourier domain or frequency domain represents a point of a particular frequency contained in the spatial domain image. Here the spectrum of two dimensional basic signals (including images) is analyzed from the point of view of diffraction patterns.
机译:傅里叶变换可以被认为是将图像分解为二维空间正弦频率分量。使用二维傅立叶级数和变换逼近来创建二维高斯函数,矩形(Rect)函数和圆形(Circ)函数。傅立叶域或频域表示空间域图像中包含的特定频率的点。这里,从衍射图样的角度分析了二维基本信号(包括图像)的频谱。

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