What is a histogram?

The situation is similar with the characteristics of the lgbt wedding photographer nyc – you just need to know that it is 8-bit or 16-bit, encoded in JPEG or RAW, have a certain number of pixels of different brightness in three color channels. And if the first two characteristics allow only two options (+ or -), then the third is a huge set – for a standard image, this is 256 gradations of brightness from black to white in each of the three main channels (red, green, blue, if you are not in the know) for every pixel. In other words, it is much easier to deviate from the path here than in an unknown area, although with much less risk to life, so the field for experiments also opens up a huge field.

Surely, a very smart person at one time came up with a histogram, but, as was the case with many inventions (the first autogen, for example, thieves deftly opened safes), then they did not serve humanity very well. Of course, one should pay tribute to the histogram – it is able to characterize the image, but always strive for a certain kind of it, even if the eyes, looking at the image, fundamentally disagree with the ideal appearance of the histogram you need, probably not worth it. Remember that the shape of the histogram depends on the image itself, and in night shots, for example, the left edge will be too crowded, leaving the right edge blank. On the portraits taken in the “high key”, on the contrary, there will be a hole on the left.

The histogram represents all the same 256 gradations of brightness in each channel (3 histograms of each channel are obtained, plus one total), but not for each pixel, but with the distribution of these gradations, in accordance with the weight of each brightness level (in mathematics, such averaging is called weighted average). So, for example, if there are more pixels of absolutely white color in the image than each of the other brightness levels, on the right side of the total histogram you will see a black line from top to bottom, and all the rest will be recalculated in relation to it (i.e., if the amount of white increases, quantitative the ratio of other colors to it will decrease, since the number of pixels in the image is fixed, and the rest of the histogram will be pressed to the floor).

What is a histogram?