When it comes to Food Photographer in LA, the histogram is a graph that you find both in cameras and in professional editing systems (like Photoshop and Lightroom). Do you know why? Because if you can read this diagram you have all the tools to know the exposure, the levels and the quality of your photography immediately after taking it.
The histogram shows how the pixels that make up the photograph are distributed between Blacks, Shadows, Midtones, Lights and Whites. Specifically, the tonal range gives us indications on the quality and quantity of color shades while the dynamic range describes the brightness levels.
This allows us to capture precise and detailed images from the point of view of overall brightness and nuances. Simplifying the concept and moving it on a more grassy level. You must look for the maximum gamma value, that is to recover as many shades of color as possible or, in the case of monochromatic images, we must be able to have the widest possible range of black or white.
The moment you shoot, these intervals give you the perception of what you will see later (a more or less dark image, in essence) but when you have to do post-production, these show you in which areas to intervene to get the desired result. So, if, for example, you want a photograph that is dramatic you have to act on the blacks and pull to the left, reducing half tones and increasing the shadows.
Up to this moment you know that all moved to the left is absolute black (RGB value 0) and everything moved to the right is absolute white (RGB value 255) in the middle there are all the other values from 1 to 254. To understand better, you have to start considering the histogram as a side-by-side set of 256 columns in which 0 is absolute black and the last one, 255th, is absolute white as part of Food Photographer in LA.
This is the horizontal reading of the graph, to which you must give, however, also a vertical reading: the height of the histogram, in fact, indicates the concentration of pixels in a given tonal level.
Imagine taking a picture and seeing the unbalanced histogram on the left: you were wrong with the exposure and this is clear and you have erred in excess, overexposing the image. In this case there are some burnt pixels, that is completely white, that will fill the last column. The higher this column is, the more pixels you burn, the worse your image will be.
In that case you, will have so many completely white pixels that your machine will have to modulate the histogram in such a way that the graphics can adequately and visually indicate the proportions of the pixels lost.
