#Lightroom 5.7.1 tutorial how to
#Lightroom 5.7.1 tutorial update

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).

#Lightroom 5.7.1 tutorial update

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.

#Lightroom 5.7.1 tutorial 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.