Light Image Enhancement Application in Visual Communication Art Based on Wireless Network Sensing and Image Segmentation Method

Abstract

With the rapid development of Internet of Things technology, optical image enhancement, as a technology to improve the quality of visual information, has shown great potential in art communication and display. This study aims to explore the effect of combining wireless network-based sensing technology and image segmentation method in light image enhancement, analyze its practical application in sensory communication art, and improve the visual expression and information transmission efficiency of artistic works. Wireless sensor network is used to collect light, temperature and other related data in the environment, and the data is processed and transmitted by mobile terminal. Combined with advanced image segmentation algorithm, the acquired images are processed to achieve dynamic enhancement under different lighting conditions. In the experiment, a variety of art works were selected for comparative analysis, and the effect was evaluated by combining subjective evaluation with objective indicators. The research results show that, based on the data support of wireless network sensors, image segmentation technology significantly improves the visual effect of art works in different environments. Under low light conditions, the enhanced image details are richer, the overall expressive force of art works is improved, and the audience’s aesthetic experience is also improved.