Python PIL | Kernel() method

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.Kernel() Create a convolution kernel. The current version only supports 3x3 and 5x5 integer and floating point kernels.

Syntax: PIL.ImageFilter.Kernel(size, kernel, scale=None, offset=0) Parameters: size – Kernel size, given as (width, height). In the current version, this must be (3, 3) or (5, 5). kernel – A sequence containing kernel weights. scale – Scale factor. If given, the result for each pixel is divided by this value. the default is the sum of the kernel weights. offset – Offset. If given, this value is added to the result, after it has been divided by the scale factor. Returns type: An image.

Image Used: Python3 1==

 

# Importing Image and ImageFilter module from PIL package 
from PIL import Image, ImageFilter 

# creating a image object 
im1 = Image.open(r"C:\Users\System-Pc\Desktop\leave.JPG") 

# applying the Kernel filter
im2 = im1.filter(ImageFilter.Kernel((3, 3),
      (-1, -1, -1, -1, 9, -1, -1, -1, -1), 1, 0))

im2 = im2.show()                 

Output: Another example: Here change kernel value to obtain output, we can change other parameters as well. Python3 1==

# Importing Image and ImageFilter module from PIL package 
from PIL import Image, ImageFilter 

# Importing Image and ImageFilter module from PIL package 
from PIL import Image, ImageFilter 

# creating a image object 
im1 = Image.open(r"C:\Users\System-Pc\Desktop\leave.JPG") 

# applying the Kernel filter
im2 = im1.filter(ImageFilter.Kernel((3, 3),
          (-1, -1, -1, -1, 11, -2, -2, -2, -2), 1, 0))

im2 = im2.show()                 

Output: