Perceived-Color Approximation Transforms for Programs that Draw
Institute of Electrical and Electronics Engineers (IEEE)
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Stanley-Marbell, P., & Rinard, M. (2018). Perceived-Color Approximation Transforms for Programs that Draw. IEEE Micro, 38 (4), 20-29. https://doi.org/10.1109/MM.2018.043191122
© 1981-2012 IEEE. Human color perception acuity is not uniform across colors. This makes it possible to transform drawing programs to generate outputs whose colors are perceptually equivalent but numerically distinct. One benet of such transformations is lower display power dissipation on organic light-emitting diode (OLED) displays. We introduce Ishihara, a language for 2D drawing that lets programs specify perceptual-color equivalence classes to use in drawing operations enabling compile-time and runtime transformations that trade perceived color accuracy for lower OLED display power dissipation.
Alan Turing Institute (EP/N510129/1)
External DOI: https://doi.org/10.1109/MM.2018.043191122
This record's URL: https://www.repository.cam.ac.uk/handle/1810/286518