Visual Communication Design Based on Temporal and Airspace Filtering

Weak target detection in the process of target scale, background noise, causing weak target image visual transmission effect is unsatisfactory, to improve the weak target image visual transmission effect, now propose a weak target image visual transmission design scheme: using guide filter technology to enhance image characteristics, using partial differential equation to obtain image background baseline, to achieve better weak target image background suppression effect; Histogram equalization algorithm is used to improve image quality and obtain good image enhancement effect, and image feature extraction technology and particle swarm algorithm are used to complete the tracking and visual transmission of weak target images. Experimental analysis proves that the proposed design scheme in this study can effectively reduce the influence of interference factors of weak target detection, produce a good visual transmission effect of weak target images, and meet the actual needs of weak target detection and tracking.