Visual Communication Design Model for New Media and Public Health Environment and New Communication Mode.


Journal

Journal of environmental and public health
ISSN: 1687-9813
Titre abrégé: J Environ Public Health
Pays: United States
ID NLM: 101516361

Informations de publication

Date de publication:
2022
Historique:
received: 22 08 2022
revised: 12 09 2022
accepted: 13 09 2022
entrez: 6 10 2022
pubmed: 7 10 2022
medline: 12 10 2022
Statut: epublish

Résumé

When we examine the development history of visual transmission design, we can see that media technology application and visual transmission design innovation are frequently intertwined. The relevant work outcomes attained during the process of art design practice typically exhibit the traits of dynamic and dynamic performance with a clear degree of expression, against the backdrop of the practical advancement and widespread use of developing media technology. In light of the influence of new media art, it is essential to understand the development trend of art design in order to perform well in visual transmission design. The audience will be given access to more varied and richer visual transmission information thanks to the wise deployment of multimedia techniques. This work develops a three-dimensional picture reconstruction algorithm based on the visual transmission phenomenon. The relative error, matching degree, and signal-to-noise ratio were chosen as evaluation indices. Three sets of tests were conducted to determine how noiseless image, noisy image, and various sampling frequencies affected the quality of the reconstructed image. The testing results demonstrate that the three-dimensional picture rebuilding system has a 22.34% higher antinoise ability and has a significantly superior overall effect than the conventional three-dimensional image rebuilding system. It offers greater practical application value and does a decent job of keeping image details and edges.

Identifiants

pubmed: 36200077
doi: 10.1155/2022/1177677
pmc: PMC9527409
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Retracted Publication

Langues

eng

Sous-ensembles de citation

IM

Pagination

1177677

Commentaires et corrections

Type : RetractionIn

Informations de copyright

Copyright © 2022 Ke Wang and Caiyuan Kuang.

Déclaration de conflit d'intérêts

The authors declare that there is no conflict of interest regarding the publication of this paper.

Auteurs

Ke Wang (K)

Jinling Institute of Technology, Nanjing 211169, China.

Caiyuan Kuang (C)

Jinling Institute of Technology, Nanjing 211169, China.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
Humans Magnetic Resonance Imaging Phantoms, Imaging Infant, Newborn Signal-To-Noise Ratio
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature

Classifications MeSH