sapiСистемный анализ и прикладная информатика«System analysis and applied information science»2309-49232414-0481Belarusian National Technical University10.21122/2309-4923-2025-3-59-66sapi-764Research ArticleОбработка информации и принятие решенийData processing and decision–makingМетод реколоризации изображений для людей с протанопией и дейтеранопиейImage recoloring method for people with protanopia and deuteranopiaСиницынаВ. В.SinitsynaV. V.

Синицына Влада Владиславовна –Магистр, аспирант.

г. Минск

Vlada V. Sinitsyna – Master, Postgraduate.

Minsk

vladasinitsina1@gmail.comБелорусский государственный университет информатики и радиоэлектроникиБеларусьBelarusian State University of Informatics and RadioelectronicsBelarus202516102025035966Copyright © Синицына В.В., 20252025Синицына В.В.Sinitsyna V.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://sapi.bntu.by/jour/article/view/764

В результате проведенных исследований разработан метод для помощи людям с наиболее распространенными формами дихромазии – дейтеранопией и протанопией. Для людей с протанопией осуществляется преобразование цветов с превалирующей красной составляющей, для дейтеранопов – с преобладающей зеленой составляющей. Особенностями описанного метода являются нахождение неразличимых для дихроматов цветов при помощи настраиваемого колориметрического отклонения и изменение координат b и L неразличимых цветов таким образом, чтобы в результате преобразований неразличимые цвета одного изображения как можно сильнее отличались друг от друга, но в то же время наилучшим образом сохраняли свою натуральность. Среди преимуществ данного метода следует отметить возможность для каждого пользователя настроить в соответствии с индивидуальным восприятием визуальной информации такие персонализированные параметры реколоризации, как колориметрическое отклонение неразличимых цветов, коэффициент преобразования координаты b и коэффициент преобразования яркости L. Реколоризация согласно разработанному методу допустима как для более реалистичных изображений, так и для графиков, вывесок, HTMLдокументов, интерфейсов приложений. Проверка корректности работы метода произведена посредством рассмотрения нормальным трихроматом симулированного при помощи метода Brettel et al. реколоризованного изображения для дейтеранопического и протанопического зрения, в результате чего ранее недоступные для зрения дихромата области изображения стали различимыми. Качество реколоризации также оценено по потерям натуральности цветов и глобальному хроматическому разнообразию. Так, потери натуральности цветов для тестовых изображений имели удовлетворительные значения и изменялись в пределах от 4.39 до 20.15 в зависимости от цветовой составляющей изображений. Глобальное хроматическое разнообразие всех тестовых изображений в результате реколоризации было увеличено. Время выполнения метода для обоих случаев дихромазии указывает на удовлетворительную скорость обработки изображений и составляет 3 с для изображений размером 170 000 пикселей.

As a result of the conducted research, a method was developed to help people with the most common forms of dichromacy – deuteranopia and protanopia. For people with protanopia, the transformation of colors with a predominant red component is carried out, for deuteranopes – with a predominant green component. The features of the described method are finding colors indistinguishable for dichromats using a customizable colorimetric deviation and changing the coordinates b and L of indistinguishable colors in such a way that as a result of the transformations, the indistinguishable colors of one image differ from each other as much as possible, but at the same time retain their naturalness in the best possible way. Among the advantages of this method, it is worth noting the ability for each user to customize such personalized recoloring parameters as the colorimetric deviation of indistinguishable colors, the transformation coefficient of coordinate b, and the transformation coefficient of brightness L in accordance with their individual perception of visual information. Recoloring according to the developed method is acceptable for both more realistic images and for charts, signs, HTML-documents, and application interfaces. The correctness of the method was verified by examining a recolored image simulated by the Brettel et al. method for deuteranopic and protanopic vision with a normal trichromat, as a result of which areas of the image previously inaccessible to the dichromat's vision became distinguishable. The quality of recoloring was also assessed by the loss of color naturalness and global chromatic diversity. Thus, the loss of color naturalness for the test images had satisfactory values and varied within the range from 4.39 to 20.15 depending on the color component of the images. The global chromatic diversity of all test images was increased as a result of recoloring. The execution time of the method for both dichromacy cases indicates a satisfactory image processing speed and is 3 s for images of 170 000 pixels.

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The authors declare that there are no conflicts of interest present.