什么是“无所事事”？卷积核 [英] What is the "do-nothing" convolution kernel

问题描述

如果我试图在频率空间中进行卷积内核 - 什么是无所事事内核。换句话说，如果我在应用内核后查看图像，并在频率空间中对其进行标准化，我只想查看原始傅立叶变换

If I am trying to do a convolution kernel in Frequency space - what is the "do-nothing" kernel. In other words, if I view the image after applying the kernel, and normalizing it in Frequency space, I just want to see the raw Fourier transform

它是单位矩阵吗？ ？我的内核是3x3

Is it the identity matrix? my kernel is 3x3

谢谢

推荐答案

无所事事3x3内核将是：

A do-nothing 3x3 kernel will be:

0 0 0
0 1 0
0 0 0

我希望我能正确理解你的问题 - 我不确定为什么你会想要这样的内核，当它更容易完全跳过卷积。

I hope I understood your question correctly - I'm not sure why you would want such a kernel, when it's much easier to just skip the convolution entirely.

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