The Function of Histogram in Photography

The function of histogram in photography: You should always check the histogram of photos when shooting, which is the only reliable basis for judging whether the exposure is correct or not.

Histogram is the information of the color or tone of the image captured by camera exposure, and it is a kind of diagram reflecting the exposure of photos. By looking at the effect presented by the histogram, it can help the photographer to judge the exposure situation and judge whether to make corresponding adjustments to get the best exposure effect. In addition, it is displayed when shooting.

histogram, by viewing the histogram, we can detect the imaging effect of the picture and provide important exposure information for the photographer. Many photographers will fall into such a misunderstanding that the image displayed on the screen is great and they think that the real exposure effect will be good, but this is not the case.

This is because the screens of many cameras are still in the default state when they leave the factory, and the contrast and brightness of the screens are relatively high, which makes photographers mistakenly think that the captured images are beautiful. If you don't look at the histogram, you will often feel that the photos are properly exposed. However, when you watch them on the computer screen, you will find that the photos that feel good when you shoot them are lost, and even if you use post-processing software to save some details, the effect is not very good.

Introduction to Histogram

Histogram, also known as mass distribution chart, is a statistical report chart, which shows the data distribution by a series of vertical stripes or line segments with different heights. Generally, the horizontal axis represents the data type, and the vertical axis represents the distribution.

histogram is an accurate graphical representation of the distribution of numerical data. This is an estimate of the probability distribution of continuous variables (quantitative variables) and was first introduced by karl pearson. It's a bar graph.

in order to build a histogram, the first step is to segment the range of values, that is, divide the whole range of values into a series of intervals, and then calculate how many values are in each interval. These values are usually specified as continuous, non-overlapping variable intervals. Spaces must be adjacent and usually (but not necessarily) equal in size.