Color Image Landscape Photo Hand-Painted Effect Evaluation with PFA Algorithm

Abstract

With the continuous development of society and economy, diversified presentation and publicity of landscape are becoming more and more popular among the public, such as using color pictures to display multimedia publicity videos or APP, WeChat public accounts, and other new media. There are various ways of expression. Against the limitations of color image landscape, this article introduced the PFA algorithm, during the experiment of hand-painted landscape pictures, the effect of color hand-painted images is evaluated by using the coordination degree of natural target detection scene, and the corresponding image evaluation index values are obtained for effective analysis, and the prediction model is established. The simulation results show that the PFA algorithm is effective and can support the evaluation of the hand-painted effect of color landscape photos.

Simulation of Automatic Color Adjustment of Landscape Image Based on Color Mapping Algorithm

“…Among them, s represents the visual value of the human eye to the natural world, I represents the light of the natural world, and R is the energy measurement unit determined by visible light and natural light. In order to obtain the value of power exponent R, Stevens used the numerical estimation method to obtain a large number of experimental data [19,20]. e specific step is to present a standard light intensity stimulus to the tester and specify its occurrence value as a number, such as 1.00. en, the tester takes this subjective value as the standard to judge other brightness stimuli with different intensities and expresses them with a number.…”