Implementation of Image Technology Based On Algorithm Optimization in Design System

Abstract

Art design combines image optimization with information optimization. To improve the level of artificial intelligence and user-oriented design, a design method of visual art design system based on image optimization and information optimization is presented. Image art design optimizes the image brightness by using color compensation method, combines pixel quantization method to track and fuse the image, and uses the wavelet de-noising technology to de-noise the image, so as to complete the optimization of image art design. The design art design system is based on the MapInfo software development platform, and has finally completed the art design under the embedded Linux architecture. The software-integrated development of the design system is implemented. System tests state clearly that the design system can effectively achieve the output of artistic images, improve the output quality of artistic design images, have a high output signal-to-noise ratio, and have a better human-computer interaction.