I’ve been playing about with interpolating visual data – so far I can see how linear works mathematically but don’t have the knowledge to grasp cubic interpolation yet. Looking at the output data I can see each method has its own tendencies and characteristic failures (certainly once you chuck in worst case images like points, blocks and checkerboard high contrast data) …
I thought upon looking at the output, why not just use the mean value of a linear and cubic interpolation outputs ?
Kind of a hedge your bets methodology…
Perhaps this just a redundant and wasteful operation which could be achieved within one cubic interpolation itself ? (some sort of internal fiddle or what not of the algorithm).
Not that I can see it yet but maybe I’m creating a contradictory system with even worse artefacts ?
:veryfunny
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