PS How to adjust the color problem through the neutral Ash principle Tutorial

The digital image is made up of 3 basic colors of red, green and Blue (RGB), and when one of the colors is higher than the other, this is the bad luck that every photographer will encounter. Most people only rely on the naked eye to judge, adjust the image of the color problem, in fact, this is not accurate. For this, small series for your focus on this issue: how to pass the neutral ash principle to adjust the color problem?

1. Basic Principles

The red place in the picture is high, the green place G is high, the blue place B value is high. And black and white Gray place its RGB is equivalent. If the black and white gray place RGB values are not equal, the image is biased, which is the high image on which color. Adjust the high value, so that the black and white gray place RGB equivalent, the image of the color of the correction over. This is the neutral grey theory!

In natural scenery, the reflected color of objects in normal light is the normal color of objects that people see. Regardless of the red, green and blue magenta, all colors are represented by a combination of red, green and blue 3 colors in RGB mode.

Press the F8 key to open the information Panel. To move the mouse over the diagram, you can see the RGB value of the point where the mouse is located on the information Panel. Red: r=255,g=0,b=0 green: r=0,g=255,b=0; blue: r=0,g=0,b=255; black: r=0,g=0,b=0; white: r=255,g=255,b=255; In addition, there is a phenomenon worth noting: gray RGB equivalent.

2. Example explanation

Open a color image randomly in Photoshop.

Press F8 key to open the information panel, the mouse in the image to move at will, you can see the location of the mouse RGB value. The Red Place R is the highest, the green Place G is the highest, the blue place has the highest B value, the yellow place is the r and G value High and the B value is low. The gray place is RGB equivalent.

Press Ctrl+shift+u key, the image to color into a grayscale image, you can see all the local RGB equivalent.

In the final analysis is a sentence: in RGB images, as long as the black and white objects, the RGB value should be equal.

In turn, if the original is black and white gray objects, in the RGB image of its value is not equal, is the image color. So, as long as this should be equivalent but now does not equal to the RGB adjustment to the equivalent, the image of the color correction over.