Images are represented as pixels, each containing information about red, green, and blue colors (RGB) within the range of 0 to 255.
Implementing a convolution in Python involves using NumPy arrays and Pillow to manipulate images effectively.
Convolution implementation requires traversing the image pixel by pixel, extracting image slices, computing new pixel values using kernels, and ensuring to handle all three color channels in the output.