Revealing Disappearance Patterns in Murals Heavily Contaminated by Soot Based on Hyperspectral Imaging
Bibliographic Data
| ID | 8352267 |
|---|---|
| Authors | Pengyu Sun (0009-0005-5319-1925, Chinese Academy of Cultural Heritage), Miaole Hou (0000-0002-0942-629X, Chinese Academy of Cultural Heritage), Shuqiang Lyu (Chinese Academy of Cultural Heritage, corresponding author), Wenyi Cui (Chinese Academy of Cultural Heritage), Wanfu Wang (0000-0002-4897-2189, Dunhuang Research Academy), Yutong Sun (0000-0002-3137-1272, Chinese Academy of Cultural Heritage) |
| Year | 2025 |
| Volume | 68 |
| Issue | 3 |
| Pages | 527-539 |
| Publication date | 2025-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Archaeometry (JOURNAL) |
| Journal identifiers | ISSN: 0003-813X • E-ISSN: 1475-4754 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/arcm.70076 |
| OpenAlex | W4416892797 |
| Language | EN |
| References cited | 27 |
Over time, many murals have become heavily contaminated with soot, obscuring patterns and hindering the recognition of these significant cultural relics. This study utilises the spectral discrimination and subsurface detection capabilities of hyperspectral imaging to nondestructively reveal pattern information concealed by soot. After preprocessing the hyperspectral data, independent component analysis (ICA) is used to preliminarily separate soot from the underlying patterns. Several independent components containing the most distinct pattern information are selected for a two‐part enhancement strategy. The first part introduces a novel feature extraction method, EMP‐PCA, to highlight and extract the patterns, followed by contrast stretching to enhance the pattern–background distinction. The second part uses an inverse ICA transformation on selected components to synthesise a true colour image, which is then enhanced using a weight map–based method. Finally, the results from both parts are combined using Laplacian fusion, comprehensively revealing the patterns hidden beneath the heavy soot. The results demonstrate the method's effectiveness and provide valuable information for the archaeological study and conservation of cultural heritage
Contrast (vision) · Feature (linguistics) · Hyperspectral imaging · Pattern recognition (psychology) · Preprocessor · Soot · Transformation (genetics) · Cultural Heritage Materials Analysis · Geophysical Methods and Applications · Image Processing and 3D Reconstruction
Microscopic investigation for the evaluation of atmospheric pressure non-equilibrium plasma technique used to remove contaminants from ancient Chinese murals
Extracting faded mural patterns based on the combination of spatial-spectral feature of hyperspectral image
Mining painted cultural relic patterns based on principal component images selection and image fusion of hyperspectral images
| Highly cited | No |
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