Python Pillow - ImageChops.screen() Function

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The Python image processing library Pillow (PIL) offers a range of functions within its ImageChops module for performing arithmetical operations on images. In addition to these operations, the module provides functions specifically designed for blending mode operations on images. Among these blending modes is the screen mode.

The ImageChops.screen function in PIL superimposes two inverted images on top of each other using the screen blending mode.

The operation is defined as follows −

$$\mathrm{out\:=\:MAX\:-\:((MAX\:-\:image1)\:*\:(MAX\:-\:image2)\:/\:MAX)}$$

Syntax

Following is the syntax of the function −

PIL.ImageChops.screen(image1, image2)

Parameters

Here are the details of this function parameters −

• image1 − The first input binary image with mode "1".

• image2 − The second input binary image with mode "1".

Return Value

The return type of this function is an Image.

Examples

Example 1

Here is another example demonstrating the working of the ImageChops.screen() function for superimposing two inverted images on top of each other.

from PIL import Image, ImageChops
import numpy as np

# Create the two input images using numpy arrays
array1 = np.array([(154, 64, 3), (255, 0, 0), (255, 255, 0), (255, 255, 255), (164, 0, 3)], dtype=np.uint8)
array2 = np.array([(200, 14, 3), (20, 222, 0), (255, 155, 0), (255, 55, 100), (180, 0, 78)], dtype=np.uint8)

image1 = Image.fromarray(array1)
image2 = Image.fromarray(array2)

# Display the pixel values of the two input images
print("Pixel values of image1 at (0, 0):", image1.getpixel((0, 0)))
print("Pixel values of image2 at (0, 0):", image2.getpixel((0, 0)))

# Additionally, demonstrate the use of the screen blend mode
result_screen = ImageChops.screen(image1, image2)

# Display the pixel values of the resulting image at (0, 0) after screen blend mode
print("Pixel values of the result at (0, 0) after screen blend mode:", result_screen.getpixel((0, 0)))

Output

Pixel values of image1 at (0, 0): 154
Pixel values of image2 at (0, 0): 200
Pixel values of the result at (0, 0) after screen blend mode: 234

Example 2

In this example, the PIL.ImageChops.screen() function is applied to the two PNG images to superimpose two inverted images on top of each other.

from PIL import Image, ImageChops

# Open the two image files
image1 = Image.open("Images/pillow-logo-w.png")
image2 = Image.open("Images/ColorDots.png")

# Apply the Screen algorithm
result = ImageChops.screen(image1, image2)

# Display the input and resulting images
image1.show()
image2.show()
result.show()

Output

Input Image 1

Input Image 2

Output Image

Example 3

Here is another example that applies the PIL.ImageChops.overlay() function on the two JPEG image.

from PIL import Image, ImageChops

# Open the two image files
image1 = Image.open("Images/Tajmahal_2.jpg")
image2 = Image.open("Images/Flower1.jpg")

# Apply the Screen algorithm
result = ImageChops.screen(image1, image2)

# Display the input and resulting images
image1.show()
image2.show()
result.show()

Output

Input Image 1

Input Image 2

Output Image