Practical Application of AI Algorithms in Computer Image Processing: Practices and Pathways

Authors

Yu Cheng 图书馆 Author
Song Liu Author

DOI:

Keywords:

computer image processing, artificial intelligence algorithm, application path, technological evolution

Abstract

With the continuous breakthrough of deep learning technology, the application of artificial intelligence (AI) algorithms in the field of computer image processing has changed from an early auxiliary tool to a core creation engine. The paper focuses on the technological evolution, core capability construction and practical application path of artificial intelligence algorithms in image processing, and combines the latest research results and industry cases to analyze how algorithms break through the boundaries of traditional image processing and achieve qualitative changes from efficiency improvement to content generation. Through discussing the technical principles, application scenarios and future trends, the paper provides a systematic reference for the research and practice in related fields.

References

[1]J. Qiu, "Research on graphic and image processing technology based on artificial intelligence," Digital Communication World, no. 12, pp. 25-27, 2024.

[2]Y. Liu, M. Han, and H. Wang, "Analysis of the application of artificial intelligence algorithms in image processing," Electronics World, no. 16, pp. 67-68, 2021.

[3]X. Zhang, "Exploration of the application of artificial intelligence algorithms in computer image processing," Information & Computer (Theoretical Edition), vol. 34, no. 24, pp. 43-45, 2022.

[4]Y. He, "Research on the application of image processing teaching under artificial intelligence technology," Scientific Consult, no. 12, pp. 124-126, 2022.

[5]Y. Zhang, "Exploration of the practice and application path of artificial intelligence algorithms in computer image processing," China Informatization, no. 3, pp. 45-46, 2024.

[6]F. Huang, "Intelligent image recognition and its application in automated testing," Modern Information Technology, vol. 9, no. 6, pp. 67-70, 2025.

[7]J. Cheng, J. Xia, and Y. Li, "Design of a high-resolution remote sensing image system based on FPGA," Journal of Telemetry, Tracking and Command, vol. 46, no. 2, pp. 109-115, 2025.

[8]Y. Luo, "Design of OpenCV image processing software based on deep learning," Software, vol. 46, no. 1, pp. 50-52, 2025.