Application of Computer Image Processing Technology in Visual Communication System

Chen, Guanglin and Ding, Sinong and Liu, Wei (2023) Application of Computer Image Processing Technology in Visual Communication System. Applied Artificial Intelligence, 37 (1). ISSN 0883-9514

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Abstract

This research paper aims to enhance the operation of visual communication systems by incorporating computer image processing technology. The study investigates the potential applications of visual communication systems by utilizing imaging equipment to capture distorted fringe images of height-modulated objects from different angles. Phase information closely associated with the object is then extracted from the images and utilized to obtain the object’s three-dimensional surface topography following calibration. The paper applies multi-frequency phase-shift profilometry and Fourier transforms profilometry to construct further a visual communication system based on computer graphics processing technology. The article contributes to visual communication systems by proposing a novel approach that incorporates computer image processing technology. This approach enhances the performance of visual communication systems, resulting in a more effective means of communication. The study’s experimental analysis demonstrates computer image processing technology’s superiority and ability to enhance the visual communication system’s application. The study’s key findings indicate that computer image processing technology can effectively enhance the effectiveness of visual communication systems. The incorporation of imaging equipment and phase extraction methods leads to the production of accurate three-dimensional surface topography data. Furthermore, multi-frequency phase-shift profilometry and Fourier transform profilometry aid in constructing a visual communication system based on computer graphics processing technology, which leads to an overall enhancement of the visual communication system’s application.

Item Type: Article
Subjects: STM Library Press > Computer Science
Depositing User: Unnamed user with email support@stmlibrarypress.com
Date Deposited: 12 Jun 2023 04:44
Last Modified: 17 May 2024 10:15
URI: http://journal.scienceopenlibraries.com/id/eprint/1505

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