In order to understand the mechanism of the discrete convolution operation, let's do a simple intuitive implementation of this concept and apply it to a sample image with different types of kernel. Let's import the required libraries. As we will implement the algorithms in the clearest possible way, we will just use the minimum necessary ones, such as NumPy:
import matplotlib.pyplot as plt import imageio import numpy as np
Using the imread method of the imageio package, let's read the image (imported as three equal channels, as it is grayscale). We then slice the first channel, convert it to a floating point, and show it using matplotlib:
arr = imageio.imread("b.bmp") [:,:, ...
