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?
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:
```
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Related to [Benjamin-Loison/android_packages_apps_Aperture/issues/7#issuecomment-2091275633](https://github.com/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](https://gitea.lemnoslife.com/Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones/src/commit/ec9f6e7acaaeb6b1ffe14d3841e87bf8cc7e526b/articles/Digital%20Camera%20Identification%20from%20Sensor%20Pattern%20Noise).
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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.