#SEPARATION STUDIO VS QUIKSEPS SKIN#
#SEPARATION STUDIO VS QUIKSEPS SOFTWARE#

To do this we just use Ctrl + J or ⌘ + J on the background layer. Therefore, we’ll cover the steps for retouching in Photoshop using frequency separation.įrequency separation is basically done in three steps:įirst, let’s duplicate our background layer (which is the image we want to modify) and create two independent layers.

#SEPARATION STUDIO VS QUIKSEPS SOFTWARE#

There are many software applications that allow you to apply the frequency separation technique, but the most popular is undoubtedly Adobe Photoshop. This image was created by superimposing the High Frequencies (fine detail) of a picture of Albert Einstein onto the Low Frequencies (volume information) of a picture of Marilyn Monroe. How is this possible? Through frequency separation! The closer you get to the screen, the more the image of Albert Einstein replaces that of Marilyn. If you look at this image from a distance (try to move 5 meters away from the screen), you’ll see without too much difficulty the image of Marilyn Monroe.

everything you see in the image when you look at it from further away.Īn example that’s often done, and that I also love to do to explain this concept, is the famous optical illusion “Marilyn Einstein” created by MIT. The low frequencies are those that instead enclose volume information, such as tonal transitions, lights, and shadows.

#SEPARATION STUDIO VS QUIKSEPS SKIN#

The high frequencies are those with very fine details – in portraits, for example, the hair, skin pores, small imperfections… everything you see when you look at the image very close up. In essence, it’s possible to break down our image into spatial frequencies: a technical and complicated word to say that we can make divisions according to the level of detail contained within different areas, and then act selectively on these zones.Īlthough more formally we should consider three levels of frequency, we can easily think of dividing our image into high frequencies and low frequencies. There are many ways to analyze these mutual relationships, and one of the most used is frequency separation. But when they’re put together and related to each other, not only do they allow us to see our final image, but they allow us to make considerations about how they relate to each other. If taken individually the pixels can’t tell us much… in fact, they’re only colored squares. And each pixel is associated with fundamental information to describe our image. Each of our digital images consists of its most fundamental elements: pixels.

Separation studio vs quikseps