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Estimating the Helmholtz–Kohlrausch effect in natural images considering the decreasing brightness‐to‐luminance ratio with increasing lightness

For colors with the same luminance, increasing the saturation increases the color brightness. This phenomenon, known as the Helmholtz–Kohlrausch (H–K) effect, is a characteristic of human vision. In our estimations of the H–K effect in natural images, we found that the brightness‐to‐luminance (B/L)...

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Bibliographic Details
Published in:Journal of the Society for Information Display 2021-06, Vol.29 (6), p.476-488
Main Authors: Nakagawa, Kota, Hayami, Yuki, Aoyanagi, Hisakazu, Takamatsu, Hiroaki, Shimodaira, Yoshifumi, Ohashi, Gosuke
Format: Article
Language:English
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Summary:For colors with the same luminance, increasing the saturation increases the color brightness. This phenomenon, known as the Helmholtz–Kohlrausch (H–K) effect, is a characteristic of human vision. In our estimations of the H–K effect in natural images, we found that the brightness‐to‐luminance (B/L) ratio decreases with increasing the lightness. However, the estimation was not enough for high lightness images containing a large amount of cyan. We, therefore, propose an estimation equation considering the decreasing B/L ratio with increasing the lightness. This estimation method takes into account the characteristic that the B/L ratio is 1.0 or higher. First, we create a function that reflects the decrease of the magnitude of the H–K effect with respect to the increase of the lightness at each hue. Then, the difference between the lightness and the standard lightness (the lightness used in Nayatani's estimation equation) is multiplied. The effectiveness of the proposed method was verified in a subjective‐evaluation experiment of high‐lightness images containing a large amount of cyan. Moreover, the method improved the accuracy of the estimation, and we confirmed the decrease in B/L ratio with increasing the lightness by excluding B/L values below 1.0. The objective of this paper is to accurately estimate the H–K effect in natural images using computational models. We proposed an estimation equation including lightness parameter derived from the subjective‐evaluation results of pseudomonochromatic images based on Nayatani equation. The effectiveness of the proposed method was verified in an additional subjective‐evaluation experiment of high‐lightness images.
ISSN:1071-0922
1938-3657
DOI:10.1002/jsid.987