Exact mathematical modeling of human color perception and applications to color weak compensation and color information processsing
Project/Area Number |
23500156
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Media informatics/Database
|
Research Institution | Chuo University |
Principal Investigator |
CHAO Jinhui 中央大学, 理工学部, 教授 (60227345)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2011: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
|
Keywords | 色弱補正 / 色彩科学 / ユニバーサルデザイン / ヒューマンインターフェース / 感性情報処理 / 色彩情報処理 / ヒューマンマシンインターフェース |
Research Abstract |
We proposed a novel compensation algorithm for color-weakness based on a new, objective criterion using Riemann geometric properties of color spaces. The criterion is to match the color discrimination thresholds of average, normal observers and a colorweak observer such that he two groups of observers have the same color-difference experience.In order to describe the color spaces as Riemann spaces, we measured color discrimination thresholds data for color-weak and color-normal observers.A 1D compensation and simulation of color-weakness is shown on confusion lines in the LMS space. The 2D and 3D compensations and simulations are proposed in chromaticity planes and full color spaces in the two following ways. First, we show a local affine isometry which can be estimated from the metric tensor defined by the discrimination thresholds data. Second, the Riemann normal coordinates are built using geodesics grids. Performance of the proposed methods are confirmed by subjective evaluations.
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Report
(4 results)
Research Products
(22 results)