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Energy Aware Color Sets
Author(s) -
Chuang Johnson,
Weiskopf Daniel,
Möller Torsten
Publication year - 2009
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2009.01359.x
Subject(s) - computer science , lightness , color space , rendering (computer graphics) , artificial intelligence , visualization , categorical variable , energy (signal processing) , computer vision , color difference , set (abstract data type) , color quantization , energy consumption , computer graphics (images) , mathematics , color image , image processing , statistics , image (mathematics) , enhanced data rates for gsm evolution , ecology , machine learning , biology , programming language
We present a design technique for colors with the purpose of lowering the energy consumption of the display device. Our approach is based on a screen space variant energy model. The result of our design is a set of distinguishable iso‐lightness colors guided by perceptual principles. We present two variations of our approach. One is based on a set of discrete user‐named (categorical) colors, which are analyzed according to their energy consumption. The second is based on the constrained continuous optimization of color energy in the perceptually uniform CIELAB color space. We quantitatively compare our two approaches with a traditional choice of colors, demonstrating that we typically save approximately 40 percent of the energy. The color sets are applied to examples from the 2D visualization of nominal data and volume rendering of 3D scalar fields.