In this article, we're about to dive into the fascinating world of image filters or kernels. We'll uncover how these mathematical constructs can work wonders in blurring, sharpening, outlining, and even adding an embossed effect to the features within an image—all through the power of mathematics and coding. Let's kick things off. To get started, we import essential libraries including numpy and matplotlib . Moreover, we bring in certain functions from the skimage and scipy.signal library to aid in our exploration. import numpy as np import matplotlib.pyplot as plt from skimage.io import imread, imshow from skimage.color import rgb2gray from skimage.transform import rescale from scipy.signal import convolve2d However, before we proceed, let's clarify the concept of a filter or kernel. In essence, these matrices are utilized to enact various image effects upon an image. This achievement is made possible through a mathematical process called convolution. This procedu...
The Panorama Post
Author・Tejas Patil