Color can turn a photograph of a flat scene into a flashy view if handled well. Often gradation of color is a long process in which we try to change many variables to get the sounds that enhance the image. However, the process should not be very lengthy if we use the system of three curve scans.
To three points
We met this method through the YouTube channel Piximperfect. In one of his tutorials, Unmesh Dinda uses a very useful feature in the curve fitting layer: Drop Shadow, Midtones, and Brightness.
They are usually used to adjust the respective black, white and gray dots. However, with these three tools, you can achieve fast and easy color gradation for each image.
To see how this method works, let’s use the image below as an example.
First, we create an adjustment layer for ‘curves’. In it we see three droppers on the left side. The one above it represents the shadows, the middle in the middle and the lowest the glow.
First, we will adjust the black point. To do this, double-click the shadow dropper. It opens a color window in which we can set the desired tone (black by default).
We can apply any color you want. When using the HSV values, the shadows are assumed to have a value that does not exceed 30% of the luminance value, since a higher value gives a very blurred image. To add a color we need to pick a tone and increase its saturation. Less saturated sounds provide better results for this method.
Once we have chosen the color, we accept it. A message will appear asking if we would like to set the default color for you. We can say yes or no.
To set them, you just need to refit them by double-clicking the droppers and setting the targets in RGB 255,255,255. black in RGB 0,0,0; gray at 128,128,128.
Once we accept this, we will search for a dark area of the image and apply the dropper there. The curves are adjusted automatically.
Then, we repeat the process with the brightness of the image, the dropper below all. The luminance value of the brightness should be high (over 80% of luminance) and, once again, the low saturation will give us better results. I put this in this order, because changing brightness and shadows may be enough.
Additionally, I have added a second layer of curve adjustment to readjust the contrast of the image . Below you can see the final result.