Histogram matching

Histogram matching is a technique used to make two pictures look more similar, by making them have similar brightness and color. Imagine you have two pictures: one is very bright and the other is very dark. They look very different from one another. However, by using histogram matching, you can make them look more similar.

To help you understand better, let's imagine that you have a box of ten crayons, each crayon a different color. If you use five of those crayons to draw a picture, and then you use the other five to draw another picture, the colors used will be different in each picture. But, if you look at both pictures together, you might notice that they look too different. To solve this problem, you can try to match the colors of the second picture with the colors of the first picture.

Histogram matching works in a similar way. The term "histogram" refers to a basic plot of how many pixels appear for each color of a picture. For example, in a grayscale picture, the histogram will show how many pixels there are for each shade of gray. By adjusting the histogram of one picture to be more like another, you can make them look more similar.

To put it simply, histogram matching is the process of adjusting the colors of one picture to match those of another. It can be a useful tool in photography, image processing, and many other areas.