This is an academic question as I'm not hiding from any TLA (at the moment).
It's just interesting.
It's simple basic knowledge that everyone who uploads should probably know.
It's about digital photo fingerprinting.
You know, auto-connecting two photos by unique camera sensor imperfections.
Using just irfanview.
On Windows.
What common simple easy things can one habitually do on Windows to their
digital photos published online that will help make robotic digital
fingerprinting harder based on inevitable unique sensor imperfections?
And in what order?
A simple example is to save the RAW/JPEG from your camera as GIF and maybe
then resize, sharpen, auto adjust colors, and maybe even flip & rotate in
irfanview ever so slightly and then maybe crop out the original edges and
perhaps even screen shot & maybe so that the sensor imperfections become
more that of your screen and not that of your camera sensor.
Maybe one or two of those actions are the most useful to wipe out camera
sensor imperfections, but which one or two irfanview actions might that be?
If a dedicated app exists for this that would be nice (otherwise irfanview).
It's an academic question.
About digital photo fingerprinting.
What (simple) operations?
What (scripted) order?
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