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- Python Pillow - Colors on an Image
- Python Pillow - Creating Images With Colors
- Python Pillow - Converting Color String to RGB Color Values
- Python Pillow - Converting Color String to Grayscale Values
- Python Pillow - Change the Color by Changing the Pixel Values
- Image Manipulation
- Python Pillow - Reducing Noise
- Python Pillow - Changing Image Modes
- Python Pillow - Compositing Images
- Python Pillow - Working with Alpha Channels
- Python Pillow - Applying Perspective Transforms
- Image Filtering
- Python Pillow - Adding Filters to an Image
- Python Pillow - Convolution Filters
- Python Pillow - Blur an Image
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- Python Pillow - Embossing Images
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- Image Enhancement and Correction
- Python Pillow - Enhancing Contrast
- Python Pillow - Enhancing Sharpness
- Python Pillow - Enhancing Color
- Python Pillow - Correcting Color Balance
- Python Pillow - Removing Noise
- Image Analysis
- Python Pillow - Extracting Image Metadata
- Python Pillow - Identifying Colors
- Advanced Topics
- Python Pillow - Creating Animated GIFs
- Python Pillow - Batch Processing Images
- Python Pillow - Converting Image File Formats
- Python Pillow - Adding Padding to an Image
- Python Pillow - Color Inversion
- Python Pillow - M L with Numpy
- Python Pillow with Tkinter BitmapImage and PhotoImage objects
- Image Module
- Python Pillow - Image Blending
- Python Pillow Useful Resources
- Python Pillow - Quick Guide
- Python Pillow - Function Reference
- Python Pillow - Useful Resources
- Python Pillow - Discussion
Python Pillow - ImageChops.difference() Function
The PIL.ImageChops.difference function computes the absolute value of the pixel-by-pixel difference between two images. It returns a new image where each pixel represents the absolute value of the difference between the corresponding pixels in the input images.
The operation is defined as followes −
$$\mathrm{out\:=\:abs(image1\:-\:image2)}$$
Syntax
Following is the syntax of the function −
PIL.ImageChops.difference(image1, image2)
Parameters
Here are the details of this function parameters −
image1 − The first input image.
image2 − The second input image.
Return Value
The return type of this function is an Image.
Examples
Example 1
In this example, we will use the getpixel() function to observe the resultant pixel values after applying the ImageChops.difference() function on two input images.
from PIL import Image, ImageChops import numpy as np # Create two random RGB images image1 = Image.fromarray(np.array([(235, 64, 3), (255, 0, 0), (255, 255, 0), (255, 255, 255), (164, 0, 3)]), mode="RGB") print("Pixel values of image1 at (0, 0):", image1.getpixel((0, 0))) image2 = Image.fromarray(np.array([(25, 14, 3), (25, 222, 0), (255, 155, 0), (255, 55, 100), (180, 0, 78)]), mode="RGB") print("Pixel values of image2 at (0, 0):", image2.getpixel((0, 0))) # Compute the absolute pixel-wise difference between the two images result = ImageChops.difference(image1, image2) print("Pixel value in result at (0, 0) after difference:", result.getpixel((0, 0)))
Output
Pixel values of image1 at (0, 0): (235, 0, 0) Pixel values of image2 at (0, 0): (25, 0, 0) Pixel value in result at (0, 0) after difference: (210, 0, 0)
Example 2
In this examples, the ImageChops.difference() function is used to compute the absolute pixel-wise difference between two JPEG images (image1 and image2).
from PIL import Image, ImageChops import numpy as np # Open two image files image1 = Image.open('Images/butterfly.jpg') image2 = Image.open('Images/flowers.jpg') # Compute the absolute pixel-wise difference between the two images result = ImageChops.difference(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
In this example, the ImageChops.difference() function is used on two JPEG image files to compute the absolute pixel-wise difference between the two images.
from PIL import Image, ImageChops # Open two image files image1 = Image.open('Images/pillow-logo.png') image2 = Image.open('Images/test_img.png') # Compute the absolute pixel-wise difference between the two images result = ImageChops.difference(image1, image2) # Display the input and resulting images image1.show() image2.show() result.show() # Print the pixel values at a specific location (e.g., (100, 100)) print("Pixel value in image1 at (100, 100):", image1.getpixel((100, 100))) print("Pixel value in image2 at (100, 100):", image2.getpixel((100, 100))) print("Pixel value in result at (100, 100) after difference:", result.getpixel((100, 100)))
Output
Input Image 1
Input Image 2
Output Image
Pixel value in image1 at (100, 100): (183, 84, 131, 255) Pixel value in image2 at (100, 100): (174, 65, 9, 255) Pixel value in result at (100, 100) after difference: (9, 19, 122, 0)