Heng Wu and He Feng
Dynamic visual communication, graphic design, picture framing,virtual reality, colour matching, fuzzy control logic
In this study, the probabilistic fuzzy dynamic networks-based virtual graphic design map (PFDN-VGDM) is proposed, which is an innovative approach that combines fuzzy control logic with graphic design to improve decision-making and flexibility. By decomposing pictures into layers, the PFDN-VGDM method assesses attributes such as styles, colours, and forms. It accomplishes strong adaptability and optimum design suggestion in virtual reality settings by using fuzzy logic and probabilistic reasoning. Furthermore, the system leverages state-of-the-art compression methods to handle virtual reality efficiently (VR) image data, resulting in improved user experiences. Research was carried out in a range of VR design contexts, including interactive settings, static displays, and user- driven environments. The PFDN-VGDM achieved average quality increases of up to 35%, exceeded current approaches (MVDA, DTVD, VRVC) in shape identification (up to 10% higher), colour analysis (over 15% improvement), and design layout adaption (up to 100% better). Additionally, it demonstrated substantial improvements in the efficiency of static displays (up to 92%) and performance in interactive environments (approximately 90%). The results demonstrate that PFDN-VGDM holds considerable promise for enhancing visual communication in virtual reality settings and offering more flexible, accurate, and efficient design systems.
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