Color Contrast Method Based on Subjective warmth and coldness

The developed method for assessing the warmth-coldness allows us to determine the ranks for the entire range of the sRGB color gamut with accuracy 4% with a relatively small number of studies. The model calculated based on the method allows us to estimate the ranks of intermediate colors that are not involved in testing. At the same time, the accuracy of the model when using third-order approximation allows us to ensure accuracy comparable to the accuracy of the experimental results. Optimization of the path of traversal of the color space allows us to reduce the influence of high-frequency noise, while maintaining the path from cold shades to warm ones. The color contrasting method based on warmth-coldness shows results that significantly exceed the results of previously developed algorithms. This method is suitable for use in security and medical applications where it is necessary to highlight invisible details in a grayscale images, for example in radiography. In order to achieve better quality of applied systems, their sensors can have parameters and characteristics that differ from those of the human visual system, which can make it fundamentally impossible to form realistic controlled images. This article discusses a method for subjective assessment of color thermal-coldness with an extended range based on an inaccurate model. By iteratively refining the results in 6 stages, a third-order model was created and approximated for use in color contrasting. Based on the model, a simplified color contrasting method was developed, which was further optimized using an upgraded annealing method. As a result, an improved color contrasting method was created, significantly exceeding the characteristics of similar methods.