Visual Information Management Based on Visual Communication of Deep Learning

Abstract

To speed up the buffering of visualization images and ensure the integrity of visualization images, this paper proposes the construction of a virtual packaging model of visualization images based on visual communication of deep learning (DL). Based on the visual communication, the specific calibration steps of the visual image are designed to complete the adjustment of the visual image by using the calibration process of the visual image. We introduce the minimum buffer coefficient of the visual image, calculate the size of the buffer liner of the visual image, correct the thickness of the visual image, and complete the design of the buffer package of the visual image. Finally, the process of constructing the virtual packaging model of the visualized image is constructed to realize the virtual packaging of the visualized image. The simulation results show that the visual image virtual packaging model based on visual communication improves the buffering speed of visual image by 66.6% compared with the visual image virtual packaging model based on machine vision.