Research On Optimization Of Visual Effectiveness Based On Trichromatic Color

Nowadays,more and more people pay attention to the research of visual validity.It plays an important role in product design,advertising media,architectural design and so on.By improving the visual effectiveness,it can effectively improve the human eyes to receive stimulus information on the time and the ability to enhance the information discernibility.There are many factors that affect visual effectiveness,researchers usually choose to stimulate the physical properties of the information,environmental factors or to receive the stimulus information of the crowd.In this paper,based on the "red,yellow and blue" as the stimulus sample,based on the physical psychology research method,the non-natural visual information presentation method is used to establish the relationship between the influencing factors and the visual validity,Under the visual validity model.Through the study of the influencing factors,the main influencing factors are extracted as the parameters of visual effectiveness optimization research,and the physical attributes of visual stimulation information are taken as the experimental focus.Through the minimum change method in the physical psychology research method,the pre-experiment is carried out first,and the experimental method is used to detect the error of the experimental method.Under the condition that the experimental method error does not cause the experimental result,Visual Effects Threshold Experiments under Colored Colors and Colorless Matching State.Through the large number of effective experimental data obtained in the threshold experiment,the relationship between the influencing factors and the visual validity is established.In the data analysis and optimization,the mathematical model of color,lightness,illumination and validity is established by using multiple nonlinear regression analysis,and then the effectiveness is optimized by using the popular particle swarm optimization algorithm in recent years.In this paper,the multivariate nonlinear regression analysis and BP neural network residuals are compared by simulation experiments.The experimental results show that the mathematical model constructed by multivariate nonlinear regression analysis is more accurate.Secondly,the experimental results show that the validity of the experiment and the validity of the target validity are within the reasonable range,which proves that the validity model is established.