3 ms·
We haven't really looked too deeply into existing research in this area, so I'm not sure how our approach compares. We'd still be very interested if you've got
by dhotson 14y ago
We haven't really looked too deeply into existing research in this area, so I'm not sure how our approach compares. We'd still be very interested if you've got any suggestions for material to check out.
One difference between our program and other general purpose quantization algorithms is that we wanted to optimise for logo designs and images with flat shapes and colors (as opposed to photos with millions of colors).
We also wanted to get something working quickly so that we could get onto some large scale color analysis stuff (which we'll hopefully be writing about soon). There's definitely room for improvement in the color extraction process.
- ZenPsycho 14y agoOne thing I would like to research is the fact that once you map colors into lab space you end up with a point cloud with clusters around the primary colors. the problem then becomes using AI techniques to find the "peaks" in this data, and finding how the results from that step statistically match up to human perception of primary colors. This ends up being a similar problem to signal processing the output from a capacitive touch screen. The processor at a low level simply receives a 2D capacitance image from which it must extract the center points of fingers and their sizes- And there is a broad range of literature to find on this more generalized problem of "peak detection".
- ZenPsycho 14y agoincidentally I'm pretty sure you and I are in the same city, given that I used to work at the same company as you.