Add random noise does not make noise analysis pointless? #4
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Reference: Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones#4
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As evaluating fixed patterns is difficult or even some biased random patterns are impossible to correct?
Like manufacturer/OS could implement it for privacy but at the same time they want the best quality?
In general are there physical and software methods to avoid PRNU?
Or only if a few pixels are concerned, then could just interpolate them, as I did in another context:
In theory could just mean added noise and it would converge to 0, no?
Related to Benjamin-Loison/android_packages_apps_Aperture/issues/7#issuecomment-2091275633.
See section V. of src/commit/ec9f6e7acaaeb6b1ffe14d3841e87bf8cc7e526b/articles/Digital%20Camera%20Identification%20from%20Sensor%20Pattern%20Noise.
In theory the manufacturer could establish the PRNU of each camera to then recognize what device thanks to a given image and find who buy it etc.