Personalized Digital Image Display for Various Types of Colour Vision Deficiencies

Authors

Žiga Vinčec
University of Maribor, Faculty of Electrical Engineering and Computer Science
Božidar Potočnik
University of Maribor, Faculty of Electrical Engineering and Computer Science
Martin Šavc
University of Maribor, Faculty of Electrical Engineering and Computer Science
https://orcid.org/0000-0003-2193-530X

Synopsis

Colour vision deficiency is the inability to distinguish certain colours or shades that people with normal colour vision can easily recognize. This article presents a software solution that allows individuals with colour vision deficiency to personalize digital images, thereby facilitating their daily challenges. The purpose of the solution is to enable users to understand the visual context with minimal interference to the original image. The solution includes a quick test to determine which colours are confusing to the user. The recolouring is content-dependent. We extract representative colour centres from the image and, based on the colour blindness test, identify colour pairs that are difficult for the user to distinguish. For confusing colour centres, we use an optimization process to find replacement colours that change the appearance of the image as little as possible and at the same time adjust the confusing segments so that they become clearly distinguishable to the user. The results obtained are promising.

Author Biographies

Žiga Vinčec, University of Maribor, Faculty of Electrical Engineering and Computer Science

Maribor, Slovenia. E-mail: ziga.vincec@student.um.si

Božidar Potočnik, University of Maribor, Faculty of Electrical Engineering and Computer Science

Božidar Potočnik graduated in 1995, received his master's degree in 1998 and received his doctorate in 2000 all at the Faculty of Electrical Engineering and Computer Science, University of Maribor (UM FERI). He is employed at the System Software Laboratory at home faculty as an associate professor. He teaches courses in the fields of operating systems, computer vision, and digital image processing. His research is focused on advanced image processing and deep learning, both applied in the field of biomedicine.

Maribor, Slovenia. E-mail: bozidar.potocnik@um.si

Martin Šavc, University of Maribor, Faculty of Electrical Engineering and Computer Science

Maribor, Slovenia. E-mail: martin.savc@um.si

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Published

March 6, 2026

Series

How to Cite

Vinčec, Žiga, Potočnik, B., & Šavc, M. (2026). Personalized Digital Image Display for Various Types of Colour Vision Deficiencies. In B. Potočnik (Ed.), & (Ed.), ROSUS 2026 - Računalniška obdelava slik in njena uporaba v Sloveniji 2026: Zbornik 20. strokovne konference (Vols. 20., pp. 93-104). University of Maribor Press. https://doi.org/10.18690/um.feri.4.2026.9