Graphical modeling of additive color mixing. Perception of objects with different color shades for different observers.

Objective: Aim: To research subjective perceptions in additive color mixing.

Patients and methods: Materials and Methods: 79 individuals were surveyed, and they determined the colors they perceived in two photographs. The results of color mixing were determined using statistical analysis, graphical modeling, and Python program figures.

Results: Results: A new color is obtained by additive mixing monochromatic colors. Interestingly, different individuals perceive observed images in different ways. Mixing neighboring colors on the spectrum and those in different produces various visual effects. Distinction was found in the physical mixing of beams with different colors. Visual perception in the presence of two is subjective and is determined by the viewer's greater to one of the colors. Due to additive color mixing, additional parts of objects may appear golden or orange when there is a yellow color in a picture with blue tones. When the background is violet, the sensitivity of the blue cones decreases.

Conclusion: Conclusions: An experiment involving the observation of color photographs established that individuals who perceive orange-violet snow do not perceive the blue color in the dress. The analysis revealed that yellow light activates the green and red cones. In contrast, blue light activates the blue cones in the retina, highlighting the importance of cone activation of color perception. The contrast between yellow and blue can create a visual ef f ect where parts of objects appear more pronounced or have more intense color, demonstrating the brain's processing of contrasting colors. The experiment also indicated a reduction in blue cone sensitivity with a violet background, illustrating chromatic adaptation. Different individuals may perceive colors differently based on background and lighting conditions, underscoring the subjectivity of visual perception. Finally, there is a debate over the dress's color perception. These fi ndings suggest that individuals working on media products can enhance image quality by considering additive color blending and background effects.