Knowing this, we can modify the N-Convex algorithm covered earlier such that the candidate weights are given by the barycentric coordinates of the input pixel after being projected onto a triangle whose vertices are given by three surrounding colours, abandoning the IDW method altogether1. This results in a fast and exact minimisation of , with the final dither being closer in quality to that of Knoll’s Algorithm.
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Concretely, we start from a base Fedora image with Bootc prepared. Then, we install the necessary packages (including qemu-guest-agent for a VM) and create a user with a password. Finally, we validate that the image is correct with bootc container lint.
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