Perceived-Color Approximation Transforms for Programs that Draw
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Authors
Stanley-Marbell, P
Rinard, M
Publication Date
2018Journal Title
IEEE Micro
ISSN
0272-1732
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
38
Issue
4
Pages
20-29
Type
Article
This Version
AM
Metadata
Show full item recordCitation
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
Abstract
© 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.
Sponsorship
Alan Turing Institute (EP/N510129/1)
Identifiers
External DOI: https://doi.org/10.1109/MM.2018.043191122
This record's URL: https://www.repository.cam.ac.uk/handle/1810/286518
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Licence:
http://www.rioxx.net/licenses/all-rights-reserved
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