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).
#THE ULTIMATE TONE KEVIN O CONNOR PDF UPDATE#
UPDATE (May 2014): check out my new article The Ultimate Guide to the Dodge & Burn Technique - Part 1: The FundamentalsĪfter 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 Dovgulya ( you may remember Aleksey from my Shooting With Mixed Studio Lighting article) and Toronto-based photographer & retoucher Michael Woloszynowicz.įrequency 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.
#THE ULTIMATE TONE KEVIN O CONNOR PDF 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.
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