Paper
4 October 2023 TV-watching enhancement and its medical trial for low vision people
Author Affiliations +
Abstract
Recently, manufacturers of electronic devices such as mobiles and displays tend to introduce various audiovisual assistive technologies in their products for the disabled. Since TV was born, however, the nature of TV “watching experience” for the visually impaired which is the first ranked leisure activity has not been improved unfortunately. Instead, it has been nothing more than using the TV in a way that understands the screen with only voice or listens to the voice that explains the screen. With the goal of improving the nature for the visually impaired with blurry vision, the world first visual-aid algorithm is proposed and implemented on TV for mass production and its effectiveness is proven by medical trials for many low vision people. This visual-aid algorithm is a technology that unprecedentedly emphasizes important features of pictures for the human vision including the edge, color and contrast so that low vision people who have significantly lowered contrast sensitivity can better understand the screen. In order to break the paradox of finding the pleasure of watching TV for specifically the low vision people, clinical trials were absolutely necessary and the results said that the proposed algorithm is surprisingly meaningful for the visually impaired. The clinical trials and our simulation experiments convinced that the TV viewing experience of the visually impaired and further the quality of their lives can be improved.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jae Sung Park, Jongho Kim, Younghoon Jeong, and YoungSu Moon "TV-watching enhancement and its medical trial for low vision people", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 1267407 (4 October 2023); https://doi.org/10.1117/12.2675482
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KEYWORDS
Visualization

Clinical trials

Tunable filters

Visibility

Design and modelling

Image processing

Image enhancement

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