Python OpenCV | cv2.blur() method
Last Updated :
04 Jan, 2023
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OpenCV-Python is a library of Python bindings designed to solve computer vision problems. 
Example #1:
Python3 1==
Output:
Example #2:
Python3 1==
Output:
cv2.blur() method is used to blur an image using the normalized box filter. The function smooths an image using the kernel which is represented as:
Syntax: cv2.blur(src, ksize[, dst[, anchor[, borderType]]]) Parameters: src: It is the image whose is to be blurred. ksize: A tuple representing the blurring kernel size. dst: It is the output image of the same size and type as src. anchor: It is a variable of type integer representing anchor point and it's default value Point is (-1, -1) which means that the anchor is at the kernel center. borderType: It depicts what kind of border to be added. It is defined by flags like cv2.BORDER_CONSTANT, cv2.BORDER_REFLECT, etc Return Value: It returns an image.Image used for all the below examples:
Example #1:
# Python program to explain cv2.blur() method
# importing cv2
import cv2
# path
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
# Reading an image in default mode
image = cv2.imread(path)
# Window name in which image is displayed
window_name = 'Image'
# ksize
ksize = (10, 10)
# Using cv2.blur() method
image = cv2.blur(image, ksize)
# Displaying the image
cv2.imshow(window_name, image)
# Python program to explain cv2.blur() method
# importing cv2
import cv2
# path
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
# Reading an image in default mode
image = cv2.imread(path)
# Window name in which image is displayed
window_name = 'Image'
# ksize
ksize = (30, 30)
# Using cv2.blur() method
image = cv2.blur(image, ksize, cv2.BORDER_DEFAULT)
# Displaying the image
cv2.imshow(window_name, image)
