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Thinking about trying to quantify image quality in memory io shots
Like blur/focus/light
and multiple faces
'interesting' backgrounds, ie not single color, these represent a possible memory of a location
After some searching a term I found is "nr iqa" (no reference image quality assessment) or blind quality assessment Though most of that research is around finding suitable confession algorithms and % that don't distort too much.
thinking you give each metric a score maybe?
more interesting can float to the top then
frankly though nueral networks are the thing for this nowadays
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