Utilizing Multi-Channel LED system to Improve the Color Discrimination of Red-Green Color Vision Deficiency

• Main Authors: Chung-Chi Liu, 劉忠濟
• Other Authors: Hung-Shing Chen
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/683a57

碩士 === 國立臺灣科技大學 === 色彩與照明科技研究所 === 106 === There are about 8 % among males and 0.5 % among females in northern European with red-green color vision deficiency (CVD). CVD and normal color vison (NCV) living together for a long time may face some problems, such as confused color recognition which leads to restrictions on convenience and friendliness in the living environment. Recently, some developed countries, such as Amereicam, Europe and Japan, have gradually been paying more attention to the issue of CVD. Several experts and scholars have conducted a series of related studies to improve the color discrimination abilities of CVDs. So far, the methods of improving color discrimation abilities for CVDs include color universal design, image color enhancement, color-illuminantion, and eyewear solutions. This research focuses on color-illumination solution which uses multi-channel LEDs system to improve color discrimination abilities of the deutan and protan CVDs. First, we proposed color vision simulation and evaluation method basen on the ellipse analysis and color difference look-up table to evaluate the color discrimination abilities of CVDs. We changed diffrerent color temperature (2000 K to 7000 K) of reconstruction daylights to explore the performance improvement of color vision test (Ishihara test and D-15 test) of red-green CVDs. Then, we combined with the reconstruction daylight and the red and yellow colored illuminants as the test light sources to explore the possibility of forward improving color discrimination abilities for CVDs. Finally, we analyzed the correlation of color vision simulation and evaluation method between actual experimental results. It is expected to provide an effective diagnosing method to predict the color discrimination performance of CVD when multi-channel light sources are applied.