Motion blur filter Applying motion blur to an image is reduced to a convolution of the filter on the image. Examples of 5 * 5 filters are shown below.
The larger the filter size, the greater the motion blur effect. In addition, direction 1 on the filter screen is the direction of the desired movement. To set motion blur in a specific direction of a vector, such as diagonally, simply place 1 along the vector to create a filter.
Code Consider the following image of a car.
Code: Python code to apply motion blur to an image.
# library loading
import numpy as np
img = cv2.imread ( ’car.jpg’ )
# Specify the kernel size. # The larger the size, the more movement.
kernel_size = 30
# Create a vertical core.
kernel_v = np.zeros ((kernel_size, kernel_size))
# Make the same copy to create a horizontal kernel.