Abstract

Considering the problems of poor effect, long reconstruction time, large mean square error (MSE), low signal-to-noise ratio (SNR), and structural similarity index (SSIM) of traditional methods in three-dimensional (3D) image virtual reconstruction, the effect of 3D image virtual reconstruction based on visual communication is proposed. Using the distribution set of 3D image visual communication feature points, the feature point components of 3D image virtual reconstruction are obtained. By iterating the 3D image visual communication information, the features of 3D image virtual reconstruction in visual communication are decomposed, and the 3D image visual communication model is constructed. Based on the calculation of the difference of 3D image texture feature points, the spatial position relationship of 3D image feature points after virtual reconstruction is calculated to complete the texture mapping of 3D image. The deep texture feature points of 3D image are extracted. According to the description coefficient of 3D image virtual reconstruction in visual communication, the virtual reconstruction results of 3D image are constrained. The virtual reconstruction algorithm of 3D image is designed to realize the virtual reconstruction of 3D image. The results show that when the number of samples is 200, the virtual reconstruction time of this paper method is 2.1 s, and the system running time is 5 s; the SNR of the virtual reconstruction is 35.5 db. The MSE of 3D image virtual reconstruction is 3%, and the SSIM of virtual reconstruction is 1.38%, which shows that this paper method can effectively improve the ability of 3D image virtual reconstruction.

Highlights

  • The effect of 3D image virtual reconstruction directly affects the overall visual and auditory experience of users

  • In order to highlight the advantages of the 3D image virtual reconstruction method in reconstruction, the reconstruction method based on proportional scattering medium [8], reconstruction method based on support vector machine [9], reconstruction method based on Kalman filter [10], reconstruction method based on conformal transformation [11], and reconstruction method based on measurement matrix [12] are introduced compared with the method in this paper

  • The results obtained by the measurement matrix method and this paper method are less than 5%, which can meet the requirements of 3D image virtual reconstruction, but the mean square error (MSE) obtained by this paper method is lower

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Summary

Introduction

The effect of 3D image virtual reconstruction directly affects the overall visual and auditory experience of users. Texture mapping can greatly improve the visual richness of raster-scanned images with only a small amount of calculation. Texture mapping is one of the most successful new techniques in high-quality image synthesis [5]. Visual communication technology can better convey information to users through visual media, instead of traditional 2D expressions. The new visual communication mode is adopted to infiltrate the information to be expressed into all aspects. The visual communication technology is applied to the virtual reconstruction of 3D image, the image processing is completed by computer, and the information to be expressed by the image is transmitted by visual symbols and expressed and transmitted to users through visual media [7]

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