OpenCV: image smoothing and image blur

Guide package:

import numpy as np
import cv2
import matplotlib.pyplot as plt
def show(image):
    plt.imshow(image)
    plt.axis('off')
    plt.show()
def imread(image):
    image=cv2.imread(image)
    image=cv2.cvtColor(image,cv2.COLOR_BGR2RGB)
    return image

 The image smoothing process:

= kernelsizes [(3,3), (9, 9), (15, 15 )] 
plt.figure (figsize = (15, 15 ))
 for I, Kenel in the enumerate (kernelsizes): 
    plt.subplot ( l, 3 , I +. 1 )
     # average smooth manner 
    Blur = cv2.blur (Image, Kenel) 
    plt.axis ( ' OFF ' ) # not display coordinate 
    plt.title ( ' Great title ' + STR (Kenel)) 
    plt.imshow ( Blur) 
plt.show ()

Gaussian blur:

= kernelsizes [(3,3), (9, 9), (15, 15)] # only for this picture, the mean and Gaussian blur blur is no difference. 
plt.figure (figsize = (15, 15 ))
 for I, Kenel in the enumerate (kernelsizes): 
    plt.subplot ( l, 3, I +. 1 )
     # Average smooth manner 
    Blur = cv2.GaussianBlur (Image, Kenel, 0 ) 
    plt.axis ( ' OFF ' ) # not display coordinate 
    plt.title ( ' Great title ' + STR (Kenel)) 
    plt.imshow (Blur) 
plt.show ()

 Median Blur:

plt.figure (figsize = (15, 15 ))
 for I, Kenel in the enumerate ((3,9,15)): # means is representative of a convolution kernel 3 * 3,9 * 9,15 * 15 
    plt.subplot (l, 3, I +. 1 )
     # average smooth manner 
    Blur = cv2.medianBlur (Image, Kenel, 0) 
    plt.axis ( ' OFF ' ) # not display coordinate 
    plt.title ( ' Great title ' + STR (Kenel )) 
    plt.imshow (Blur) 
plt.show ()