Multimedia VR Image Improvement and Simulation Analysis Based on Visual VR Restructuring Algorithm

Due to the advancement of science and technology, the application of virtual reality (VR) technology is more and more extensive, and people can truly immerse themselves in the virtual space through virtual reality. Relying on the visual VR reconstruction algorithm, this paper deals with the problems...

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Bibliographic Details
Published in:Informatica (Ljubljana) Vol. 48; no. 1; pp. 107 - 117
Main Author: Xu, Xiangyang
Format: Journal Article
Language:English
Published: Ljubljana Slovenian Society Informatika / Slovensko drustvo Informatika 01.03.2024
Subjects:
Algorithms
Color imagery
Compression ratio
Extreme values
Image filters
Image reconstruction
Multimedia
Simulation
Sorting algorithms
Video compression
Virtual reality
ISSN:0350-5596, 1854-3871
Online Access:Get full text
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Summary:Due to the advancement of science and technology, the application of virtual reality (VR) technology is more and more extensive, and people can truly immerse themselves in the virtual space through virtual reality. Relying on the visual VR reconstruction algorithm, this paper deals with the problems of "burring" and insufficient compression of relatively simple video imaging devices. Using virtual reality as a foundation, the multimedia effect of the video image is processed, and according to six operation modules, a system combining virtual reality technology is designed. From the aspect of determining the relationship between video image data and color, it is classified into three types: binary image, pseudo-color image, and grayscale image, and the grid of each point is defined and quantified. The extreme value filtering algorithm is used to perform a sorting calculation on the image pixels in the filtering window so as to improve the image effect with the threshold value suitable for filtering processing. Simulation results show that the VR visual restoration algorithm has a higher compression ratio and higher optical efficiency and can effectively support multimedia VR image improvement and simulation analysis.
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ISSN:0350-5596
1854-3871
DOI:10.31449/inf.v48i1.5368