import cv2
import numpy as np

image = cv2.imread('images/input.jpg')
cv2.imshow('Original', image)

# Create our shapening kernel, we don't normalize since the
# the values in the matrix sum to 1
kernel_sharpening = np.array([[-1,-1,-1],
                              [-1,9,-1],
                              [-1,-1,-1]])

# applying different kernels to the input image
sharpened = cv2.filter2D(image, -1, kernel_sharpening)

cv2.imshow('Image Sharpening', sharpened)

cv2.waitKey(0)
cv2.destroyAllWindows()