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SAN FRANCISCO, CALIFORNIA - SEPTEMBER 20: TechCrunch Industry Stage during TechCrunch Disrupt 2023 at Moscone Center on September 20, 2023 in San Francisco, California. M. Reinerston/The Photo Group for TechCrunch
SAN FRANCISCO, CALIFORNIA - SEPTEMBER 20: TechCrunch Industry Stage during TechCrunch Disrupt 2023 at Moscone Center on September 20, 2023 in San Francisco, California. M. Reinerston/The Photo Group for TechCrunch
Homage to the Square.A pattern generated by an audio signal mapped to a Hilbert curve, reduced to 1-bit and colored using a flood fill algorithm in selections derived from Josef Albers’ Homage to the Square.
Generated by a high frequency signal written to a Hilbert Curve, run through various colorization algorithms, hand-tooled in Photoshop. File ref: square09_16102022_0007a
The Algorithm (synthwave, France) en concert aux Docks de Lausanne, le 9 octobre 2019.
Photo: Stéphane Gallay, sous licence Creative Commons (CC-BY)
This is another atempt of creating my own dynamic range increasing algorithm using Python and PIL.
This time I tried to generate some kind of a map out of the 3 input images to mark which region and how much of this I want to have in my final image.
My script needs 3 parameters a Limit for black, a limit for white and a region of middletones.
With these values it creates such a map. Then the map gets blurred and the 3 input images get merged together exactly the way the map specifies.
I think there is still a lot to do, but this is probably the best idea I had so far and I think the results aren't that bad!
The script will be realesed under GNU/GPL on the-engine.at