Paper
8 February 2015 An interactive app for color deficient viewers
Cheryl Lau, Nicolas Perdu, Carlos E. Rodríguez-Pardo, Sabine Süsstrunk, Gaurav Sharma
Author Affiliations +
Proceedings Volume 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications; 939512 (2015) https://doi.org/10.1117/12.2075162
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
Color deficient individuals have trouble seeing color contrasts that could be very apparent to individuals with normal color vision. For example, for some color deficient individuals, red and green apples do not have the striking contrast they have for those with normal color vision, or the abundance of red cherries in a tree is not immediately clear due to a lack of perceived contrast. We present a smartphone app that enables color deficient users to visualize such problematic color contrasts in order to help them with daily tasks. The user interacts with the app through the touchscreen. As the user traces a path around the touchscreen, the colors in the image change continuously via a transform that enhances contrasts that are weak or imperceptible for the user under native viewing conditions. Specifically, we propose a transform that shears the data along lines parallel to the dimension corresponding to the affected cone sensitivity of the user. The amount and direction of shear are controlled by the user’s finger movement over the touchscreen allowing them to visualize these contrasts. Using the GPU, this simple transformation, consisting of a linear shear and translation, is performed efficiently on each pixel and in real-time with the changing position of the user’s finger. The user can use the app to aid daily tasks such as distinguishing between red and green apples or picking out ripe bananas.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cheryl Lau, Nicolas Perdu, Carlos E. Rodríguez-Pardo, Sabine Süsstrunk, and Gaurav Sharma "An interactive app for color deficient viewers", Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939512 (8 February 2015); https://doi.org/10.1117/12.2075162
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CITATIONS
Cited by 3 scholarly publications and 1 patent.
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KEYWORDS
Visualization

Color vision

RGB color model

Algorithm development

Color blindness

Image contrast enhancement

Image enhancement

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