现代电影技术Issue(5)：57-64,8.DOI:10.3969/j.issn.1673-3215.2026.05.008
人工智能(AI)辅助下的胶片画质增强方法研究
Research on AI-assisted film quality enhancement method:A case study of A Girl from Hunan
摘要
Abstract
To address the problems of film grain loss and image over-sharpening commonly found in existing general artifi-cial intelligence(AI)restoration models when processing archival films,this paper explores a restoration solution that bal-ances sharpness enhancement with texture preservation,taking A Girl from Hunan as a research subject.We propose an AI-assisted enhancement method based on frequency separation and re-fusion.Initially,the film grain is separated from the image content;the content is then enhanced via a dual-path enhancement module and a frequency fusion module.Subsequently,residual superposition synthesis and simulated grain generation are introduced to mitigate issues such as grain loss,over-smoothing,and sharpening distortion inherent in traditional super-resolution algorithms.Subjective evalua-tion results indicate that this method achieves the highest comprehensive preference score compared to the original foot-age and versions using only general AI super-resolution models.This method effectively enhances the resolution of digital film copies while successfully preserving the unique grain structure and aesthetic style of the original physical film medium,thereby achieving a balance between technical restoration and artistic reconstruction.关键词
超分辨率/图像增强/深度学习(DL)/电影修复Key words
Super-Resolution/Image Enhancement/Deep Learning(DL)/Film Restoration分类
社会科学引用本文复制引用
李乐游,常乐,顾晓娟..人工智能(AI)辅助下的胶片画质增强方法研究[J].现代电影技术,2026,(5):57-64,8.基金项目
2025年北京电影学院校级课题"跨学科融合下实践育人模式创新研究——以影视技术专业人才培养为例"(XZ202509). （XZ202509）
