Method of color image formation taking into account the human perception features

N. A. Obukhova; A. A. Motyko; A. A. Pozdeev; K. A. Smirnov

doi:10.1117/12.3023616

3 April 2024 Method of color image formation taking into account the human perception features

N. A. Obukhova, A. A. Motyko, A. A. Pozdeev, K. A. Smirnov

Proceedings Volume 13072, Sixteenth International Conference on Machine Vision (ICMV 2023); 130720Y (2024) https://doi.org/10.1117/12.3023616
Event: Sixteenth International Conference on Machine Vision (ICMV 2023), 2023, Yerevan, Armenia

Abstract

Currently, color image formation is based on the CIE 1931 and CIE 1964 standard colorimetric observer models. Expansion of color gamuts of displays requires narrow spectral power distributions functions of their primary colors. In this case, the use of CIE 1931 and CIE 1964 models leads to color reproduction errors, as these models do not take into account the peculiarities of color vision of a particular user. To reduce color rendering errors caused by individual vision features, a method of color image formation based on the categorical observer model is proposed. The basis of the method is the evaluation of the categorical observer type using binary tests, which can be implemented outside the laboratory conditions on conventional displays with three basic colors. The effectiveness of the method has been confirmed experimentally.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

N. A. Obukhova, A. A. Motyko, A. A. Pozdeev, and K. A. Smirnov "Method of color image formation taking into account the human perception features", Proc. SPIE 13072, Sixteenth International Conference on Machine Vision (ICMV 2023), 130720Y (3 April 2024); https://doi.org/10.1117/12.3023616

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