This time, before we perturb the input image, we take the value given by the threshold matrix and divide it by , where is the number of levels for each colour component. As a result, each pixel is perturbed just enough to cover the minimal distance between two colours in the palette. Since the entire palette is evenly distributed across colour space, we only need to modify the range of perturbation along each axis. The dithering equation then becomes:
Document what works as you implement and test different approaches. Keep notes on which tactics seem most effective for your content, which platforms drive the most engaged traffic, which topics generate the most AI citations. This knowledge base becomes increasingly valuable over time as you identify patterns specific to your niche and audience that might differ from general best practices.
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