#Separation studio practice file how to
#Separation studio practice file skin

After you've applied the Gaussian Blur filter, turn the High Frequency layer's visibility back on.ДЈ. We turn off the visibility of the High Frequency layer, so that we can better see how our choice of Pixel Radius affects the entire image. With the Low Frequency layer selected, run the Gaussian Blur filter and choose Pixel Radius with which all the fine details will be blurred. Turn off the visibility of the High Frequency layer and select the Low Frequency layer.Дў. Duplicate your Background layer twice: the top layer is the base for the high frequency image data and the bottom duplicate is for the low frequency image data.ДЎb. Let's first talk about this more accurate algorithm.ДЎa. In other words, after the separation your image data is slightly skewed, so you compromise the quality of the outcome before you even begin retouching.Д«ut! That inaccuracy is mainly affecting the pixels with extreme brightness, and when used smartly, it can actually be beneficial to the outcome in some situations. When it is used to separate the image into high and low spatial frequencies, the results are inaccurate. While there are a number of ways to implement the Frequency Separation technique, the steps you take to get to the final result will define the amount of time spent and the quality of the outcome.Д«efore we begin, I want to make a quick note regarding the use of the High Pass filter in the FS technique.

#Separation studio practice file skin

Within the digital photography editing craft, the separation of spatial frequency data in images can be utilized for skin (and not only) retouching. Once you walk away, your eyes will adjust - the 'low pass filter' of your vision will kick in - and you will see the low spatial frequency image (Marilyn Monroe). When you look at the image from a close distance you see the high spatial frequency image (Einstein), the fine details, the outlines of his facial features. Who do you see now?Д®ssentially, this image is a combination of photos of Marilyn Monroe in the low frequency layer and Einstein's in the high frequency layer. Now, get up and walk away from your screen. If you look at this image from a normal distance from your computer while reading this article you will see Albert Einstein's photo. You may have seen this optic illusion that exploits the frequency separation principle. If you look at only the low frequency information of an image, you might be able to recognize the image, but it will not hold any precise detail. In other words: shadows and light areas, colors and tones. Low frequencies are the image data that contains information about volume, tone and color transitions. High frequencies in an image will contain information about fine details, such as skin pores, hair, fine lines, skin imperfections (acne, scars, fine lines, etc.). Like in music any audio can be represented in sine waves, we can also break up an image into low and high frequency sine waves. Typically, we break down the information data in our images into high and low frequencies. There can be any number of frequencies in each image, and each frequency will contain certain information (based on the size of the details). UPDATE (May 2014): check out my new article The Ultimate Guide to the Dodge & Burn Technique - Part 1: The FundamentalsДЄfter we look at the slightly geeky results of my research ( my sources at the end of this article), I would also like to share with you a few practical ways of its smart implementation with the help and advice from my friends: commercial photographer from Moscow, Aleksey DovgulyaВ ( you may remember Aleksey from my Shooting With Mixed Studio LightingВ article)В and Toronto-based photographer & retoucher Michael Woloszynowicz.ДЇrequency Separation technique is virtually a process of decomposing of the image data into spatial frequencies, so that we can edit image details in the different frequencies independently.

#Separation studio practice file how to

I've set out to research and collect all the important and useful information about it, so we can together learn how to become better at it. However, many FS technique users actually know very little theory behind it, thus have little control over its implementation. Chances are you have already learned what Frequency Separation (FS) technique is, as it became mainstream in the past few years.