Application of binocular perception model based on multi-module joint optimization in visual communication design

With the development of art, people’s demand for visual experience is also getting higher and higher. In visual communication design, how to improve the visual effect of design works has become an important issue. In recent years, the research on visual communication design has been paid more and more attention. However, these methods suffer from the problem of low output accuracy and low time efficiency. Binocular vision refers to the principle and method of simulating human binocular vision. It can provide richer depth visual information. Therefore, this paper proposes a binocular perception model based on multi-module joint optimization and applies it to visual communication design. The designed model includes image preprocessing module, binocular processing module, optimization module, and perception module, thus improving the effect and quality of visual communication design. The experimental results show that the algorithm proposed in this paper improves the output accuracy by 9.35% and the time efficiency by 10.24% compared with other algorithms. The proposed binocular perception model based on multi-module joint optimization can be used to optimize the depth perception effect of design works. Through 3D reconstruction and depth perception of design works, the visual design scheme can more accurately grasp the spatial structure and layout of design works, thereby improving visual effects and user experience.