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Python PIL | ImageColor.getrgb() Method
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Python PIL | BoxBlur() method

Last Updated : 14 Sep, 2021
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PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The ImageFilter module contains definitions for a pre-defined set of filters, which can be used with the Image.filter() method.
PIL.ImageFilter.BoxBlur() Blurs the image by setting each pixel to the average value of the pixels in a square box extending radius pixels in each direction. Supports float radius of arbitrary size. Uses an optimized implementation which runs in linear time relative to the size of the image for any radius value.
 

Syntax: PIL.ImageFilter.BoxBlur()  Partameters:  radius: Size of the box in one direction. Radius 0 does not blur, returns an identical image. Radius 1 takes 1 pixel in each direction, i.e. 9 pixels in total.

Image used: 
 

 

Python3




# Importing Image and ImageFilter module from PIL package 
from PIL import Image, ImageFilter
     
# creating a image object
im1 = Image.open(r"C:\Users\sadow984\Desktop\download2.JPG")
     
# applying the boxblur method
im2 = im1.filter(ImageFilter.BoxBlur(0))
     
im2.show() 
 
 
                          
 
 
 
 
Output: 
 
 
 
 
 
 
Python3
 
  
 
 
 
 
                                      
 
                                    
                                     
 
 
                                    
 
 
                                    
                                     
                                                                      
 
 
 
 
 
 
  
  
 
# Importing Image and ImageFilter module from PIL package  
 
from PIL import Image, ImageFilter 
 
     
 
# creating a image object 
 
im1 = Image.open(r"C:\Users\sadow984\Desktop\download2.JPG") 
 
     
 
# applying the boxblur method 
 
im2 = im1.filter(ImageFilter.BoxBlur(2)) 
 
     
 
im2.show() 
 
 		 
  
 
 
 
 
 
                          
 
 
                          
 
 
 
 
Output: 
 
 
 
 
 
 
Python3
 
  
 
 
 
 
                                      
 
                                    
                                     
 
 
                                    
 
 
                                    
                                     
                                                                      
 
 
 
 
 
 
  
  
 
# Importing Image and ImageFilter module from PIL package  
 
from PIL import Image, ImageFilter 
 
     
 
# creating a image object 
 
im1 = Image.open(r"C:\Users\sadow984\Desktop\download2.JPG") 
 
     
 
# applying the boxblur method 
 
im2 = im1.filter(ImageFilter.BoxBlur(8)) 
 
     
 
im2.show() 
 
 		 
  
 
 
 
 
 
                          
 
 
                          
 
 
 
 
Output: 
 
 
 
 
 

                                                                                      

                                                                                
                                          
                                                                                  
                                                                  
                              
                                
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                                          Python PIL | ImageColor.getrgb() Method                                      
                                  
                                                          
                          
                              
                                          
                                              
                                                  
                                                  
                                                      
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                                                      ravikishor                                                
                                                  
                                                  
              
              
  
                                            
                                                                                        
                                          
                                                                                            
                                                                                                                                                  
                                                                                                                            
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