Image differencing

It has been suggested that this article be merged with Image subtraction . (Discuss) Proposed since April 2023.

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Image differencing is an image processing technique used to determine changes between images. The difference between two images is calculated by finding the difference between each pixel in each image, and generating an image based on the result. For this technique to work, the two images must first be aligned so that corresponding points coincide, and their photometric values must be made compatible, either by careful calibration, or by post-processing (using color mapping). The complexity of the pre-processing needed before differencing varies with the type of image.

Image differencing techniques are commonly used in astronomy to locate objects that fluctuate in brightness or move against the star field.

The Hutchinson metric can be used to "measure of the discrepancy between two images for use in fractal image processing".[1][2]

## See also

* Blink comparator
* Difference matte
* Image stabilization
* Image subtraction

## Sources and notes

1. ↑ Efficient computation of the Hutchinson metric between digitized images abstract
2. ↑ HUTCHINSON METRIC IN FRACTAL DNA ANALYSIS -- A NEURAL NETWORK APPROACH

## External links

* Sussex Computer Vision webpage: Use of motion information in computer vision

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