kershner
commented
7 years ago Hey there, fascinating discussion. Thanks for bringing it up.
I've often thought that the color averaging algorithm could be improved quite a bit using actual computer science/theory.
I'm not quite clear on exactly what you're proposing, however. Are you suggesting some way to differentiate between the back/foreground of an image and then perform separate calculations on the two sections? That sounds closer to extracting the dominant color vs the average, which I've experimented with numerous times. The algorithms have always proven to be way too slow and unpredictable for ScreenBloom's purposes.
If I'm misunderstanding you, please let me know. An "explain like I'm an idiot" would be very welcome!
Uncle808
Don't know which topic I commented it on, but it's extremely odd when you look at a colored pillar in a room of different color and bloom averages this color prominently and turns the lighting over.
I realized when I spend some time looking at the teaser video on the homepage for a while https://thumbs.gfycat.com/AffectionateDistinctBanteng-mobile.mp4
The close up of the leaves, when bloom turns reddish-brown, and the green leaves with the gecko's shadow let me connect my impression to my uneasyness: There should be positional weighting in relation to backgrounds or background colors.
Backgrounds are underlining the picture, but averaging the colors with centerpiece objects winning majority over the background bloom is actually distracting from the object in question by bleeding out it's colors into the real surroundings. Object recognition like google's deepnet would be really awesome to detect the composition, but that's totally out of the question.
OT: BTW, E14 bulbs finaly available. Been waiting for them over a year so I can finally use it in fixed lighting and not use that darn misdesigned porcelain spot.