Perceptual hashing
Perceptual hashing is a way for computers to see if two images are similar.
It's like having two pictures of cats - one is black and white and the other is full color. Even though they are different, you can still tell that they both show a cat.
Perceptual hashing works the same way. It takes an image and turns it into a bunch of numbers that represent what the image looks like. If another image has similar numbers, the computer can tell that they are similar.
This is useful because it can help people find fake or copied images on the internet. If two images have the same perceptual hash, it means that one is probably a copy of the other.
Overall, perceptual hashing is a way for computers to "see" images and compare them to other images to see if they are the same or similar.
It's like having two pictures of cats - one is black and white and the other is full color. Even though they are different, you can still tell that they both show a cat.
Perceptual hashing works the same way. It takes an image and turns it into a bunch of numbers that represent what the image looks like. If another image has similar numbers, the computer can tell that they are similar.
This is useful because it can help people find fake or copied images on the internet. If two images have the same perceptual hash, it means that one is probably a copy of the other.
Overall, perceptual hashing is a way for computers to "see" images and compare them to other images to see if they are the same or similar.
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