I first reported this last week on TheInsideTips.com, but this is so important, I want to share it with everyone this week.
For years, editors have used mosaic and blur effects to hide the identity of on-screen talent. However, recent research has found a way to reverse-engineer a high-quality image of the speaker’s face from a low-resolution blur. Here’s what you need to know.
Research published in Sept. 2018, from universities in the US and China has revealed a technology that “learns to reconstruct realistic [image] results with clear structures and fine details.”
Using a low-resolution image (on the left), their technology creates a high-quality result using off-the-shelf computer hardware and nVidia GPUs. The researchers discovered an algorithm, powered by AI, “to directly restore a clear high-resolution image from a blurry low-resolution input.”
“Extensive experiments demonstrate that our method performs favorably against the state-of-the-art methods on both synthetic and real-world images at a lower computational cost.”
Here’s a link to their scientific paper. The text is highly technical, but the images are frightening, if you are a producer charged with protecting someone’s identity.
If you want to protect the identity of an on-camera speaker, don’t shoot their face. Today’s technology makes blurs, mosaics and low-res images completely ineffective.
Final Cut Pro X 10.4
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