图像频域滤波

资 源 简 介

1. 图像的傅立叶变换和频谱图的中心化； 2. 傅立叶变换的旋转性质； 3. 理想低通滤波器； 4. 巴特沃斯高通滤波器；

详 情 说 明

In this document, we will discuss four important topics related to signal processing:

1. The Fourier transform of images and the centralization of their frequency spectra. This is an important concept in image processing, as it allows us to analyze the frequency content of an image.

2. The rotational property of the Fourier transform. This property is useful in many applications, including image stabilization and pattern recognition.

3. The ideal low-pass filter. This is a type of filter that allows low frequency components of a signal to pass through while attenuating high frequency components. This is useful in many applications, such as audio and image processing.

4. The Butterworth high-pass filter. This is another type of filter that allows high frequency components of a signal to pass through while attenuating low frequency components. This is useful in many applications, such as audio and image processing.

By understanding these four topics, you will gain a deeper understanding of signal processing and be better equipped to apply these concepts in your work.