Under certain circumstances, it’s possible to modify ordered dithering so that it can better handle colour information. This requires that we use a palette that is regularly distributed in colour space. A regular palette is composed of all possible combinations of red, green and blue tristimulus values, where each colour component is partitioned into a number of equally spaced levels. For example, 6 levels of red, green and blue totals 6³ = 216 unique colours, equivalent to the common web-safe palette.
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I learned that for 4-SAT, if clause to variable ratio is more than 10, the generated problems become difficult to solve, and the likelihood of formula to be SAT or UNSAT is close to 50%. So I generated 3 types of formulas:
for (const chunk of chunks) {
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Note however that depending on as well as the distribution of colours in the palette, there may not always be an exact solution for any given . Instead we’ll say that we want to minimise the absolute error between and some linear combination , or .