Frequency Separation 101 - Tutorial for Affinity Photo
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- เผยแพร่เมื่อ 1 มิ.ย. 2024
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Frequency Separation is a useful concept for touching up photos. But there are some foundational concepts that should be understood to make the most out of this technique. In this video, I’ll cover these concepts from the ground up.
CONTENTS
00:00 Intro
01:11 What Problem Are We Solving?
02:47 Finding High Detail: Edge Detection
05:46 Finding Low Detail: Blur
06:32 What is Frequency?
09:23 Frequency Separation Demo - วิทยาศาสตร์และเทคโนโลยี
I've watched other videos on this frequency separation, including the official one, and I simply haven't understood it. In just 15 minutes, I now get it. Your explanation was excellent. It wasn't overly technical, and it was just so easy to understand. This is the first video of yours I've seen and naturally, I've subscribed. Thank you.
No problem, @dobythedog!
Very clear and useful. Thanks.
Very clear instruction. I reduced playback to .75 in order to follow precisely.
I’m convalescing from a hip replacement for the next couple months and set learning Affinty as a goal. I’ve subscribed, ‘hit the bell ‘ and book marked your channel. Thank you.
Thanks so much @yukonica4560, I appreciate it!
FYI, I covered this same topic on my recent livestream, and usually the livestream pace is a little slower if that helps:
th-cam.com/video/DDKdpH7r6zw/w-d-xo.html
Really Helpful and Great Totorial 👍👍👍
Very helpful, thank you!
Thanks, really helpful
I appreciate your attention to detail regarding theory of operations. I believe you can develop a non destructive frequency separation template, as I had seen others do that, its a bit more complicated, but I think is very handy.
Sooo well explained.
Glad it was useful, Javier!
Recently discovered your channel, this is one of the best Affinity tutorials I’ve seen, and I’ve watched a lot! I’d be curious to know other use cases for the frequency separation.
👍👍👍
So I need to convert this video th-cam.com/video/yHJe_kGvsYM/w-d-xo.html to the MAC version, not the iPad version, then see how I can make this non destructive frequency separation method generic.
Hi @pedropuckerstein4670, thanks for the info. Yes, a non-destructive way is possible. I considered including it, but I didn't want the video to get too long and overwhelming. I actually covered a similar method briefly here on my livestream at the 30:00 minute mark. I did it on Windows desktop, but it should help you do it on the Mac, too:
th-cam.com/video/DDKdpH7r6zw/w-d-xo.html
I think I'll make a quick follow-up video to this one about the non-destructive method.
@@TechnicallyTrent Thanks. I watched that portion, just now, of your live event. What you did seems simpler than the other video I commented on above. The other guys videos are very detailed, but he doesn't often provide the theory of operation and background as do you. I will try to operationalize his video for Affinity for MAC.
You do a great job creating really useful content, and I really like your speech tone, but I can't focus on what you're showing anymore because of your over-activity in PiP. Now all I see is the PiP frame and I can't focus on the interface. I'm really sorry, but now I'm forced to skip your videos.🙈
Hi @vitasc, thanks for the feedback, I will take it under consideration. I try to have an on-screen presence to differentiate from the coming onslaught of AI-driven videos. But I am always trying to improve the experience for the viewer, so I may be varying things up in the future in terms of screen layout.