Application of image processing technology in image restoration of Qijiang prints

With the all-round development of modern AIGC technology, people's application of AI painting to traditional art is gradually increasing, and the number of people who use AI painting to learn Qijiang prints is also increasing, which shows that the proportion of people studying China's traditional culture is increasing, and the increase in the number of experienced users has also attracted extensive research and attention from academia and industry. At present, there are some factors in AI drawing model, such as lack of traditional image data and poor quality of image data. In the process of data collection and processing, image optimization is an effective way to improve the present situation, which can solve the problems of arbitrary image data collection and not paying attention to image quality, and can also collect excellent works images with lost images. This paper uses image processing technology to improve image data, deal with common image problems and serious image problems, establish color collection strategies, and increase the sources of high-quality images. On the contrary, promoting cultural exchange and learning plays an auxiliary role in deepening the inheritance of traditional culture and promoting cultural development. However, the comprehensive popularization of cultural heritage and development through AIGC requires further scientific and technological development and continuous improvement of teaching resources.

Authors

Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3729605.3729619
Primary Topic
Medical Imaging and Analysis
Type
article
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article

Application of image processing technology in image restoration of Qijiang prints

Yao Lu, WU De-wen, Sixuan He
Medical Imaging and Analysis
article

Application of image processing technology in image restoration of Qijiang prints

Yao Lu, WU De-wen, Sixuan He
article en

Abstract

With the all-round development of modern AIGC technology, people's application of AI painting to traditional art is gradually increasing, and the number of people who use AI painting to learn Qijiang prints is also increasing, which shows that the proportion of people studying China's traditional culture is increasing, and the increase in the number of experienced users has also attracted extensive research and attention from academia and industry. At present, there are some factors in AI drawing model, such as lack of traditional image data and poor quality of image data. In the process of data collection and processing, image optimization is an effective way to improve the present situation, which can solve the problems of arbitrary image data collection and not paying attention to image quality, and can also collect excellent works images with lost images. This paper uses image processing technology to improve image data, deal with common image problems and serious image problems, establish color collection strategies, and increase the sources of high-quality images. On the contrary, promoting cultural exchange and learning plays an auxiliary role in deepening the inheritance of traditional culture and promoting cultural development. However, the comprehensive popularization of cultural heritage and development through AIGC requires further scientific and technological development and continuous improvement of teaching resources.

Openalex Percentile: Top 89%
Medical Imaging and Analysis
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