2023/11/07 by Lorenzo Agnolucci, Leonardo Galteri, Agnolucci, Lorenzo +5
Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimedia (cs.MM)
paper · pdf · doi:10.48550/arxiv.2311.04261
openalex publication_date 2023/11/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
In this paper, we present a system to restore analog videos of historical archives. These videos often contain severe visual degradation due to the deterioration of their tape supports that require costly and slow manual interventions to recover the original content. The proposed system uses a multi-frame approach and is able to deal with severe tape mistracking, which results in completely scrambled frames. Tests on real-world videos from a major historical video archive show the effectiveness of our demo system. The code and the pre-trained model are publicly available at https://github.com/miccunifi/analog-video-restoration.