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Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning

Visual communication concepts enable linguistics or semiotics to the teaching of visual communication designs, creating graphic designs into an innovative and scientific discipline. The use of storyline techniques in visual communication not only inspires the imagination of designer but also arouses...

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Detalles Bibliográficos
Autores principales: Luo, Hui, Zeng, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236836/
https://www.ncbi.nlm.nih.gov/pubmed/35769267
http://dx.doi.org/10.1155/2022/9262676
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author Luo, Hui
Zeng, Qiang
author_facet Luo, Hui
Zeng, Qiang
author_sort Luo, Hui
collection PubMed
description Visual communication concepts enable linguistics or semiotics to the teaching of visual communication designs, creating graphic designs into an innovative and scientific discipline. The use of storyline techniques in visual communication not only inspires the imagination of designer but also arouses the visual memory of the audience. Besides, improving cultural heritage such as historical images is important to protect cultural diversity. Recently, the developments of deep learning (DL) and computer vision (CV) approaches make it possible for the automatic colorization of grayscale images into color images. Also, the usage of visual communication design in APP interface design has increased. With this motivation, this work introduces the enhanced deep learning-based automated historical image colorization (EDL-AHIC) technique for wireless network-enabled visual communication. The proposed EDL-AHIC technique intends to effectually convert the grayscale images into color images. The presented EDL-AHIC technique extracts the local as well as global features. For global feature extraction, the enhanced capsule network (ECN) model is applied. Finally, the fusion layer and decoding unit are employed to determine the output, i.e., chrominance component of the input image. A comprehensive experimental validation process is performed to ensure the betterment of the EDL-AHIC technique. The comparison study reported the supremacy of the EDL-AHIC technique over the other recent methods.
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spelling pubmed-92368362022-06-28 Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning Luo, Hui Zeng, Qiang Comput Intell Neurosci Research Article Visual communication concepts enable linguistics or semiotics to the teaching of visual communication designs, creating graphic designs into an innovative and scientific discipline. The use of storyline techniques in visual communication not only inspires the imagination of designer but also arouses the visual memory of the audience. Besides, improving cultural heritage such as historical images is important to protect cultural diversity. Recently, the developments of deep learning (DL) and computer vision (CV) approaches make it possible for the automatic colorization of grayscale images into color images. Also, the usage of visual communication design in APP interface design has increased. With this motivation, this work introduces the enhanced deep learning-based automated historical image colorization (EDL-AHIC) technique for wireless network-enabled visual communication. The proposed EDL-AHIC technique intends to effectually convert the grayscale images into color images. The presented EDL-AHIC technique extracts the local as well as global features. For global feature extraction, the enhanced capsule network (ECN) model is applied. Finally, the fusion layer and decoding unit are employed to determine the output, i.e., chrominance component of the input image. A comprehensive experimental validation process is performed to ensure the betterment of the EDL-AHIC technique. The comparison study reported the supremacy of the EDL-AHIC technique over the other recent methods. Hindawi 2022-06-20 /pmc/articles/PMC9236836/ /pubmed/35769267 http://dx.doi.org/10.1155/2022/9262676 Text en Copyright © 2022 Hui Luo and Qiang Zeng. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Luo, Hui
Zeng, Qiang
Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning
title Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning
title_full Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning
title_fullStr Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning
title_full_unstemmed Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning
title_short Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning
title_sort study on the application of visual communication design in app interface design in the context of deep learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236836/
https://www.ncbi.nlm.nih.gov/pubmed/35769267
http://dx.doi.org/10.1155/2022/9262676
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