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

Abstract

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.

Adaptive image enhancement and particle size identification method based on coal and gangue

“…As the main medium for machine vision technology to obtain external information, the quality of images has a significant impact on the adequacy and accuracy of information expression. To evaluate the image quality of coal gangue with different particle sizes, contrast cont [32], brightness lig [33], and average gradient grad are used as evaluation indices. The contrast reflects the difference between the bright and dark areas of an image.…”