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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Color
Mixing Simulator For Display Surfaces Based On Human Color Vision |
Authors: |
Takako Nonaka, Morimasa
Matsuda, Tomohiro Hase |
Published in: |
ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
Citation
format: |
Nonaka, T., Matsuda, M., & Hase, T. (2007). Color Mixing Simulator For Display
Surfaces Based On Human Color Vision. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 304-308).
European Council for Modeling and Simulation. doi:10.7148/2007-0304. |
DOI: |
http://dx.doi.org/10.7148/2007-0304 |
Abstract: |
This
paper proposes a simulator that analyzes the color mixing process in large
display units based on human color vision. The authors have previously
proposed calculation model for the color mixing process. With this model, we
can calculate the viewing distance at which humans distinguish the pixel structure,
but the model does not give us the appearance of any particular image.
Therefore, the proposed simulator enables us to understand how mixed colors
are perceived without actually manufacturing a large display unit. It also
supplies the output of the resulting image. First,
the simulator makes test samples that reproduce the pixel structure. Next,
the spatial frequency characteristics of each of the R, G and B pixel dots on
the display surface are calculated. Thirdly, the visual characteristics in the
spatial-frequency domain for each color are realized as a transfer function
of a low pass filter, where the viewing distance is used as a parameter.
Fourthly, in the spatial-frequency domain, the display surface
characteristics are multiplied with the characteristics of human vision for
each color. Finally, the simulator converts the spatial-frequency
characteristics to the spatial characteristics, and composes the appearance
of each color to show the resulting color mixing image. Using this simulator, we tried to
produce the appearance of images at the different viewing distances. As a
result, we found that the longer the viewing distance becomes, the less
recognizable are the pixel dots and they look to have a more uniform, mixed
color. These results agree qualitatively with the appearance of images on the
screens of actual large display units and prove the validity of our
simulator. |
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