scholarly journals Optimal Color Correction Based on Image Analysis for Color Vision Deficiency

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 154466-154479
Author(s):  
Jongho Choi ◽  
Jusun Lee ◽  
Hyeonjoon Moon ◽  
Seong Joon Yoo ◽  
Dongil Han
Author(s):  
Lamiaa A. Elrefaei

<p class="0abstract">Color blind is a type of Color Vision Deficiency, which is the inability that a person could not realize the differences between some colors. There are three types of color blindness: Monochromacy, Dichromacy, and Anomalous Trichromacy. Color blind cannot be cured. Today, technology gets up with solutions to help people with color blindness to see the image and distinguish between the different colors using some algorithms. This paper presents a smartphone based experimental comparison of color correction algorithms for Dichromacy color-blind viewers. This comparison includes LMS Daltonization algorithm, Color-blind Filter Service (CBFS) algorithm, LAB color corrector algorithm, and the shifting color algorithm. The description of the smartphone based implementation details and parameters settings of these algorithms is presented. An application interface is implemented to enable the user to choose the algorithm that gives the most appropriate results. The results of these algorithms are compared to see their strength and weakness.</p>


Author(s):  
Alex Chaparro ◽  
Maria Chaparro

Color vision deficiency is common, affecting one in every 12 men. Despite its prevalence, displays are seldom designed to accommodate color-vision-deficient (CVD) users, who confront daily challenges interpreting color in a broad range of applications, whether weather displays, informational graphics, road signs, or computer interfaces. In this article we discuss the prevalence of color deficiency, its effects, and the availability of tools that enable design teams to evaluate candidate solutions that meet the needs of CVD users, thereby ensuring universal accessibility.


2016 ◽  
Vol 57 (8) ◽  
pp. 3853 ◽  
Author(s):  
Emily J. Patterson ◽  
Melissa Wilk ◽  
Christopher S. Langlo ◽  
Melissa Kasilian ◽  
Michael Ring ◽  
...  

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