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A visibility prediction method between background and font colors using brightness difference and color difference
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- SAITO Daisuke
- Shibaura Institute of Technology:Tokyo Polytechnic University
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- SAITO Keiichi
- International University of Health and Welfare
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- NOTOMI Kazuhiro
- Kanagawa Institute of Technology
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- AZUMA Yoshihiko
- Tokyo Polytechnic University
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- SAITO Masao
- Tokyo University
Bibliographic Information
- Other Title
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- 明度差と色差による文字色と背景色の視認性予測手法
- メイドサ ト シキサ ニ ヨル モジショク ト ハイケイショク ノ シニンセイ ヨソク シュホウ
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Description
The web accessibility is necessary for all the Internet users, and the visual elements are very important factors. In our previous study, the visibilities of achromatic backgrounds were evaluated on young adults, the elderly and dichromatic vision persons with simulation filters. Moreover, we have shown that it is possible to predict the visibility by multiple regression analysis as explanatory variable which brightness difference and color difference calculated by the RGB value. In this paper, the integrated evaluation was performed based on the visibility prediction results of white and black backgrounds. As the results, the visibility level was distinctly-divided by brightness difference and color difference. For details, it was shown that visibility of web-safe colors was estimated high when brightness difference (L) and color difference (E) were the following range. If brightness difference is in the less than 152.7, color difference in range of E<65.8L-9593, if brightness difference is in 152.7-153.0, color difference in range of E≤16.0L-1989, or if brightness difference is equal to 153.0 or more, color difference in range of E≤8.77L-883.1.
Journal
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- Journal of Biomedical Fuzzy Systems Association
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Journal of Biomedical Fuzzy Systems Association 16 (1), 91-96, 2014
Biomedical Fuzzy Systems Association
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Details 詳細情報について
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- CRID
- 1390001204475057152
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- NII Article ID
- 110009818166
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- NII Book ID
- AA1145146X
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- ISSN
- 24242578
- 13451537
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- NDL BIB ID
- 025563828
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed