Creative and Visual Analysis of Art Design with Computer Image Assisted Systems

Computer image-assisted design, as a product born in the era, provides more inspiration and creativity for art design. Based on the study of the basic theory of color design and the theory of color harmonization, an intelligent color matching model integrating visual aesthetics based on conditional generation adversarial network is proposed. Then a candidate graphic layout generation method based on visual saliency is proposed, which not only considers the visual saliency of each element in the image, but also considers how to generate candidate text regions under the constraints of aesthetic rules. In the visual analysis analysis experiment, under different color transformations, the F-value of the subject’s gaze time was 2.548, with significance P=0.051, which is not significant. The F-value of average gaze point is 6.398, significance P=0.002, significant difference is obvious. From this, it can be concluded that the artistic innovation design method proposed in this paper can make the subject’s point of interest change with a large difference, and the color that highlights the target object can significantly attract people’s attention, which is a feasible artistic innovation design scheme.