Image processing algorithm of visual communication design based on deep learning in digital background
Abstract This study addresses the growing demand for image processing in visual communication design by proposing a deep learning (DL)-based algorithm to enhance creative efficiency and precision. The algorithm integrates DL technologies to optimize image processing workflows and applies them to des...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00430-6 |
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| _version_ | 1849332440763465728 |
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| author | Xugang Hou Qian Liu Xiaoying Zhang |
| author_facet | Xugang Hou Qian Liu Xiaoying Zhang |
| author_sort | Xugang Hou |
| collection | DOAJ |
| description | Abstract This study addresses the growing demand for image processing in visual communication design by proposing a deep learning (DL)-based algorithm to enhance creative efficiency and precision. The algorithm integrates DL technologies to optimize image processing workflows and applies them to design practice, significantly improving processing efficiency. Experimental results demonstrate that this algorithm performs excellently in processing efficiency and user experience compared to traditional methods. Particularly in preventing overfitting, the algorithm exhibits stronger stability and lower error rates, further validating the potential of DL applications in visual communication design and image processing. Additionally, the system adapts well to diverse image data types and design styles, demonstrating excellent scalability that provides robust support for personalized design and innovation. The main contributions of this study include the introduction of DL technology to optimize image processing in visual communication design, thereby improving image quality and artistic expression. An innovative convolutional neural network-based algorithm is proposed to achieve more precise image processing. Simultaneously, efficient model training strategies are designed to address challenges in image resolution, color optimization, and content generation, enhancing processing efficiency and intelligent capabilities. These research outcomes hold significant application value across visual communication design, advertising creativity, and multimedia art fields. |
| format | Article |
| id | doaj-art-0b592bde57924ef182cb0c61eaae2dbe |
| institution | Kabale University |
| issn | 2731-0809 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Artificial Intelligence |
| spelling | doaj-art-0b592bde57924ef182cb0c61eaae2dbe2025-08-20T03:46:12ZengSpringerDiscover Artificial Intelligence2731-08092025-07-015111710.1007/s44163-025-00430-6Image processing algorithm of visual communication design based on deep learning in digital backgroundXugang Hou0Qian Liu1Xiaoying Zhang2College of Art, Hengshui UniversityCollege of Foreign Languages, Hengshui UniversityCollege of Foreign Languages, Hengshui UniversityAbstract This study addresses the growing demand for image processing in visual communication design by proposing a deep learning (DL)-based algorithm to enhance creative efficiency and precision. The algorithm integrates DL technologies to optimize image processing workflows and applies them to design practice, significantly improving processing efficiency. Experimental results demonstrate that this algorithm performs excellently in processing efficiency and user experience compared to traditional methods. Particularly in preventing overfitting, the algorithm exhibits stronger stability and lower error rates, further validating the potential of DL applications in visual communication design and image processing. Additionally, the system adapts well to diverse image data types and design styles, demonstrating excellent scalability that provides robust support for personalized design and innovation. The main contributions of this study include the introduction of DL technology to optimize image processing in visual communication design, thereby improving image quality and artistic expression. An innovative convolutional neural network-based algorithm is proposed to achieve more precise image processing. Simultaneously, efficient model training strategies are designed to address challenges in image resolution, color optimization, and content generation, enhancing processing efficiency and intelligent capabilities. These research outcomes hold significant application value across visual communication design, advertising creativity, and multimedia art fields.https://doi.org/10.1007/s44163-025-00430-6DigitalizationDeep learningConvolutional neural networkVisual communication designImage processing algorithm |
| spellingShingle | Xugang Hou Qian Liu Xiaoying Zhang Image processing algorithm of visual communication design based on deep learning in digital background Discover Artificial Intelligence Digitalization Deep learning Convolutional neural network Visual communication design Image processing algorithm |
| title | Image processing algorithm of visual communication design based on deep learning in digital background |
| title_full | Image processing algorithm of visual communication design based on deep learning in digital background |
| title_fullStr | Image processing algorithm of visual communication design based on deep learning in digital background |
| title_full_unstemmed | Image processing algorithm of visual communication design based on deep learning in digital background |
| title_short | Image processing algorithm of visual communication design based on deep learning in digital background |
| title_sort | image processing algorithm of visual communication design based on deep learning in digital background |
| topic | Digitalization Deep learning Convolutional neural network Visual communication design Image processing algorithm |
| url | https://doi.org/10.1007/s44163-025-00430-6 |
| work_keys_str_mv | AT xuganghou imageprocessingalgorithmofvisualcommunicationdesignbasedondeeplearningindigitalbackground AT qianliu imageprocessingalgorithmofvisualcommunicationdesignbasedondeeplearningindigitalbackground AT xiaoyingzhang imageprocessingalgorithmofvisualcommunicationdesignbasedondeeplearningindigitalbackground |