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So based on this research, what reconstruction filter and gamma curve should I use to render text so it looks good over a range of fonts? :) Or, perhaps a bett

So based on this research, what reconstruction filter and gamma curve should I use to render text so it looks good over a range of fonts? :) Or, perhaps a better posed question. What research-informed model will accurately predict the results of a user study that presents various renderings of antialiased lines on a modern LCD monitor and asks subjects to choose "which line is thicker" types of queries?

jacobolus 7y ago
Also does the font have variable weight? Are you adjusting it in any other way before rendering? What context were the fonts designed for – did the font designers evaluate their appearance using any specific displays / rendering engines? > asks subjects to choose "which line is thicker" types of queries I think you could develop a model for “which line is thicker” given a specific target display without inordinately much trouble; you might have to tweak some parameters for matching particular displays. The harder question is “which line is the right thickness”, especially if you don’t have any correct answers to reference. We also don’t just care about apparent line thickness but also spatial resolution, aliasing artifacts, ...