Intelligentization of Art Design System Based on Multidimensional Visual Image Reconstruction Algorithm

Among the mainstream methods of image aesthetic quality evaluation, it can be divided into traditional aesthetic evaluation methods based on the artificial design features and current popular aesthetic evaluation methods based on deep learning. Hence, this paper studies the intelligentization of art design system based on the multidimensional visual image reconstruction algorithm. In the proposed study, the modelling process contains the 2 essential aspects, namely, the multidimensional image analysis and image perception, respectively. The framework is modelled separately and then combined for the comprehensive analysis of image aesthetic quality evaluation for art design system. After testing on large sets of data, the performance is shown to be efficient.