Overview:
-
In Image-Processing, smoothing an image reduces noises present in the image and produces less pixelated image.
-
The smooth filters provided by Pillow are Box Filters, where each output pixel is the weighted mean of its kernel neighbours.
-
Pillow provides a couple of smooth filters denoted by,
- ImageFilter.SMOOTH
- ImageFilter.SMOOTH_MORE
-
The convolution matrix for the filter ImageFilter.SMOOTH is provided by
(
1, 1, 1,
1, 5, 1,
1, 1, 1
)
-
The convolution matrices for the filter ImageFilter.SMOOTH_MORE is provided by
(
1, 1, 1, 1, 1,
1, 5, 5, 5, 1,
1, 5, 44, 5, 1,
1, 5, 5, 5, 1,
1, 1, 1, 1, 1
)
Example:
|
# import the pillow modules from PIL import Image from PIL import ImageFilter
# Create an Image Object image = Image.open("./lamp.jpg")
# Apply SMOOTH filters smoothenedImage = image.filter(ImageFilter.SMOOTH) moreSmoothenedImage = image.filter(ImageFilter.SMOOTH_MORE)
# Display the original image and the smoothened Images image.show() smoothenedImage.show() moreSmoothenedImage.show() |
Output:
Before applying smooth filter:
After applying smooth filter:
After applying increased smooth filter:
