Digital Rubbing through Physical Simulation: A Non-Invasive Computational Approach for Epigraph Preservation
Abstract. The preservation of ancient Chinese inscription relics, including oracle bones, steles, and precious metal artifacts, faces critical challenges due to irreversible degradation from environmental erosion and physical contact during documentation. While traditional rubbing techniques remain widely used for recording surface inscription information, their mechanical ink-transfer process inherently causes cumulative damage through repetitive hammering and pressure application. This paper presents a novel computational framework through physical process simulation for non-invasive digital rubbing generation. Our key innovation lies in mathematically modeling the complex physical interactions involved in manual rubbing processes, including: (1) a Xuan paper generation model based on water retention properties, (2) a paper deformation model based on local depth, (3) an ink diffusion model based on contact probability. Experiments on ancient Chinese steles demonstrate our method’s superior visual fidelity over existing digital methods, particularly in restoring ink textures resembling actual rubbings.
Authors
- Hanyu Xiang (ORCID: https://orcid.org/0000-0002-8395-3100)
- Xianfeng Huang (ORCID: https://orcid.org/0000-0002-2835-5810)
- Ao Tian (ORCID: https://orcid.org/0009-0005-3798-5530)
- Jiawei Liu (ORCID: https://orcid.org/0000-0002-2774-1509)
- Xueyi Wang (ORCID: https://orcid.org/0000-0002-2846-9201)
- Fan Zhang (ORCID: https://orcid.org/0000-0001-9476-9862)
- Yiwen Zhu (ORCID: https://orcid.org/0009-0005-6857-7505)
- Gao Jun-ping (ORCID: https://orcid.org/0000-0002-2623-2243)
Institutions
- Wuhan University (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
- Department of Cultural Heritage (LT)
- Luoyang Institute of Science and Technology (CN)
Publication Details
- Journal
- The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
- Published
- 2025-10-04
- DOI
- https://doi.org/10.5194/isprs-archives-xlviii-m-9-2025-1615-2025
- Primary Topic
- Image Processing and 3D Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00