I think it is possible to embed invisible information into videos and images. This way peopple could track where you got an image from, the source from which you copied it, and people who copy your image to share it again. https://github.com/ShieldMnt/invisible-watermark
Services like youtube or twitter could embed such watermarks into content they serve to specific users without them knowing; Smartphone-cameras could mark images in secret.
I guess blurring, rotating or dithering the image could destroy watermarks. Or maybe just sharing a screenshot of an image instead of the original image. Format conversions may help too.
Keywords: digital-watermarking. tracking.
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Most people don’t know your photos can be cross profiled and identified by the unique noise signature of your camera.
I’ve never heard of it being used in practice though. There’s a github repo somewhere if you’re interested in trying it yourself.
maybe blur + compression + dithering + contrast effects may fix this? idk …
I would be interested in the name of the github repository you mentioned.
I believe this is the original whitepaper: https://ws.binghamton.edu/fridrich/Research/double.pdf
And here’s an implemention I found on github: https://github.com/andrewlewis/camera-id
With that repo you should be able to test ways to obfuscate the noise signal.
Then that could be used to fingerprint too.