Exploration on the integration of film and television visual language innovation and image processing technology assisted by intelligent algorithm
With the rapid development of intelligent algorithms and the continuous progress of image processing technology, film and television production has ushered in new opportunities for change. With its powerful data processing and pattern recognition capabilities, intelligent algorithms can provide accurate script generation, special effects optimization and emotional analysis for film and television creation, while image processing technology focuses on specific operations such as improving picture quality, realizing style transfer and special effects production. In this paper, the hierarchical fusion strategy and modular framework design are proposed. Through the collaborative work of data preprocessing, intelligent algorithm processing, image processing engine, collaborative optimization and output interaction, the whole process optimization from basic image enhancement to advanced visual effect generation is realized. In practical application, the fusion technology has been successfully applied in many fields, such as ink painting style conversion, sci-fi special effects generation and emotional visual expression, which has significantly improved the visual effect and artistic appeal of film and television works. At the same time, this paper also analyzes the challenges faced by fusion technology, such as data compatibility, computing resource consumption and real-time requirements, and puts forward corresponding solutions. The research results show that the integration of intelligent algorithm and image processing technology provides strong technical support for the innovation of film and television visual language, which is expected to promote the development of film and television production to a higher level.
Authors
- Fei Yan (ORCID: https://orcid.org/0000-0002-5881-0167)
- Cheng Duan
- Yu Wang (ORCID: https://orcid.org/0000-0002-6648-0583)
Institutions
- Kunming Medical University (CN)
- Second Affiliated Hospital of Kunming Medical College (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1049/icp.2025.2938
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 0.00