Re:Sharing learnings about our image cropping algorithm
by andbberger on Wednesday May 19, 2021 @07:25PM
(#27215707)
Which is not really image entropy at all, as it totally neglects spatial structure. You could sort an image and get the same entropy using the histogram approach.
Re:Sharing learnings about our image cropping algorithm
by bavell on Wednesday May 19, 2021 @06:47PM
(#27215494)
"Entropy" in this context also left me wondering. Perhaps "variance" or "deviation from the mean"?
Thanks for the insights!
Re:Sharing learnings about our image cropping algorithm
by MauranKilom on Wednesday May 19, 2021 @07:29PM
(#27215731)
Entropy usually boils down to "sum p * log(p) for all p (and possibly normalize)", assuming you have discrete probabilities p. It is not related to variance or mean.
https://github.com/reddit-archive/reddit/blob/753b17407e9a9d...
But in short, it's a histogram of the values of the pixels.