Python Pillow - ImageOps.scale() Function

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The PIL.ImageOps.scale() function is used to obtain a rescaled image based on a specific factor provided as a parameter. The factor can be greater than 1 to expand the image or between 0 and 1 to contract the image.

Syntax

Following is the syntax of the function −

PIL.ImageOps.scale(image, factor, resample=Resampling.BICUBIC)

Parameters

Here are the details of this function parameters −

• image − The image to be rescaled.

• factor − The expansion or contraction factor, specified as a float.

• resample − The resampling method to use, with the default being BICUBIC.

Return Value

The function returns an Image object representing the rescaled image.

Examples

Example 1

Here's an example that demonstrates how to use the ImageOps.scale function.

from PIL import Image, ImageOps

# Open an image
original_image = Image.open("Images/butterfly1.jpg")

# Specify the rescaling factor 
rescale_factor = 1.1

# Apply the scale operation with BICUBIC resampling
rescaled_image = ImageOps.scale(original_image, rescale_factor)

# Save the original and rescaled images
original_image.save('Function Reference\ImageOps Module\Scale Function\Ex1_Input Image.png')
rescaled_image.save('Function Reference\ImageOps Module\Scale Function\Ex1_Output_Scale_FunC_result.png')

Output

If you visit the folder where the images are saved you can observe both the original and rescaled images as shown below −

Example 2

This example demonstrates process of contraction an image using the ImageOps.scale() function.

from PIL import Image, ImageOps

# Open an image
original_image = Image.open("Images/car.jpg")

# Specify the rescaling factor 
# e.g., 0 for contraction, 1 for expansion
rescale_factor = 0.5

# Apply the scale operation with BICUBIC resampling
rescaled_image = ImageOps.scale(original_image, rescale_factor)

# Save the original and rescaled images
original_image.save('Function Reference\ImageOps Module\Scale Function\Ex2_Input Image.png')
rescaled_image.save('Function Reference\ImageOps Module\Scale Function\Ex2_Output_Scale_FunC_result.png')

Output

If you visit the folder where the images are saved you can observe both the original and rescaled images as shown below −

Example 3

Here's another example demonstrating the use of PIL.ImageOps.scale to rescale an image with a different resampling method.

from PIL import Image, ImageOps, ImageFilter

# Open an image
original_image = Image.open("Images/butterfly.jpg")

# Specify the rescaling factor 
rescale_factor = 1.5

# Apply the scale operation with LANCZOS resampling
rescaled_image = ImageOps.scale(original_image, rescale_factor, resample=Image.Resampling.LANCZOS)

# Save the original and rescaled images
original_image.save('Function Reference\ImageOps Module\Scale Function\Ex3_Input Image.png')
rescaled_image.save('Function Reference\ImageOps Module\Scale Function\Ex3_Output_Scale_FunC_result.png')

Output

If you visit the folder where the images are saved you can observe both the original and rescaled images as shown below −