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Research on the Pigment Layer of Mural Paintings From the Late Tang Tomb M1373 in Baiyangzhai, Xi'an, Shaanxi Province Based on
Hyperspectral Image Processing |
YAN Jing1, 2, TANG Xing-jia3, 4*, HE Zhang1, 2, WANG Zeng1, 2, CHEN Ai-dong1, 2, ZHANG Peng-chang5, DONG Wen-qiang3, 4, GAO Jing-wei3, 4 |
1. Shaanxi Academy of Archaeology, Xi'an 710109, China
2. Key Scientific Research Bose of On-Site Conservation, State Administration for Cultural Heritage, Xi'an 710109, China
3. NPU Institute of Culture and Heritage(NICH), Northwestern Polytechnical University, Xi'an 710072, China
4. Key Laboratory of Archaeological Exploration and Cultural Heritage Conservation Technology (Northwestern Polytechnical University), Ministry of Education, Xi'an 710072, China
5. Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Machinery, Chinese Academy of Sciences, Xi'an 710119, China
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Abstract The late Tang tomb M1373, unearthed in November 2022 in Baiyangzhai, Xi'an City, Shaanxi Province, is a well-preserved late Tang tomb heritage. Its colorful and varied tomb murals are significant for studying the worship, etiquette, music, clothing, art, and other aspects of the late Tang period, especially providing direct materials for studying the transformation of mural styles and themes during the Tang and Song dynasties. However, due to its age, the pigment layer of the mural still exhibits many typical diseases, such as pigment peeling, nail peeling, and mud and water pollution. In addition, subsequent mural removal will bring human intervention to the mural. The above will have a certain impact on the information and value of the mural. For this purpose, in this study, we utilized hyperspectral imaging technology to obtain integrated spectral and special information before uncovering murals. Then, spectral analysis and hyperspectral image processing techniques were used to analyze the surface pigment layer of murals. Taking the music and dance painting as an example, the pigment and craftsmanship of mural painting were studied. The experimental results show that the mural uses traditional mineral pigments such as ochre, earth yellow/mineral yellow, and mineral green for its red, yellow, and green pigments, and when drawing carpet flowers, red and green pigments are heavily diluted and used. In contrast, the use of yellow pigments is not obvious. When drawing murals, ink or a hard pen starts the draft, and red lines outline it. The baseline lines are mostly offset from the surface outline lines, and some areas of the outline lines are severely offset from the baseline lines, indicating certain changes between the start and final drafts. Some areas of the baseline lines are more obvious, while others are unclear. Through hyperspectral image processing methods, it was discovered that the starting lines were hidden beneath the pigment layer surface or lines. Moreover, these murals mainly adopted a distributed non overlapping two-dimensional direct view layout, resulting in a slightly poor spatial stereoscopic sense. However, for multiple locations where the fingers of the musician intersect with the flute, some had adopted a two-dimensional direct view drawing method where the foreground and background patterns do not overlap. In contrast, others have adopted a two-dimensional perspective drawing method where a small amount of foreground and background patterns overlap, indicating that the mural was well laid out before and during painting, and there were no obvious alterations. In addition, some hidden sewage pollution diseases were found in the mural. The above research provides data, research methods, and preliminary conclusions to support the development of on-site protection plans for the mural and subsequent research, protection, and restoration.
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Received: 2024-05-31
Accepted: 2024-12-10
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Corresponding Authors:
TANG Xing-jia
E-mail: tangxingjia@nwpu.edu.cn
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[1] Shaanxi Academy of Archaeology(陕西省考古研究院). Archaeology and Cultural Relics(考古与文物), 2024, (1): 50.
[2] ZHANG Yu-zhe(张语哲). Identification and Appreciation to Cultural Relics(文物鉴定与鉴赏), 2023, (4): 12.
[3] GUO Rui, FENG Jian, ZHAO Feng-yan, et al(郭 瑞, 冯 健, 赵凤燕, 等). Journal of Chinese Antiquity(文物季刊), 2023, (3): 119.
[4] CHEN Ai-dong, WANG Zeng, LI Xin(陈爱东, 王 曾, 李 鑫). Archaeology and Cultural Relics(考古与文物), 2024, (1): 116.
[5] YANG Wen-zong, ZHANG Ting, WANG Jia(杨文宗, 张 蜓, 王 佳). Relics and Museolgy(文博), 2017, (5): 90.
[6] YAN Jing, LIU Dai-yun, ZHAO Xi-chen, et al(严 静, 刘呆运, 赵西晨, 等). Archaeology and Cultural Relics(考古与文物), 2016, (2): 117.
[7] LI Chao-xia(李朝霞). North West Fine Arts(西北美术), 2018, (3): 137.
[8] Liu Z J, Xu W Z, Zhang Y J, et al. Minerals, 2023, 13(9): 1224.
[9] WANG Cong, Mara Camaiti, LIU Dai-yun, et al(王 聪, Mara Camaiti, 刘呆运, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2024, 44(5): 1218.
[10] CHAI Bo-long, XIAO Dong-rui, SU Bo-min, et al(柴勃隆, 肖冬瑞, 苏伯民, 等). Dunhuang Research(敦煌研究), 2018, (3): 123.
[11] LÜ Shu-qiang, HOU Miao-le, WU Wang-ting(吕书强, 侯妙乐, 武望婷). Method and Application of Hyperspectral Digital Protection for Calligraphy and Painting Cultural Relics(书画类文物高光谱数字化保护方法与应用). Beijing: Surveying and Mapping Publishing House(北京: 测绘出版社), 2022.
[12] SHI Ning-chang, LI Guang-hua, LEI Yong, et al(史宁昌, 李广华,雷 勇,等). Sciences of Conservation and Archaeology(文物保护与考古科学), 2017, 29(3): 23.
[13] ZHANG Li-fu, WANG Sa, ZHANG Yan, et al(张立福, 王 飒, 张 燕, 等). Acta Geodaetica et Cartographica Sinica(测绘学报), 2023, 52(7): 1126.
[14] Gao Y, Zhang Q, Wang X R, et al. The Electronic Library, 2024, 42(1): 1.
[15] Yang J L, Cao J, Yang H M, et al. Sensing and Imaging, 2021, 22(32). https: //doi.org/10.1007/S11220-021-00354-2.
[16] Liu K X, Wu H X, Ji Y B, et al. Sustainability, 2022, 14(10): 6232.
[17] YANG Wen-zong, TANG Xing-jia, ZHANG Peng-chang, et al(杨文宗, 唐兴佳, 张朋昌, 等). Sciences of Conservation and Archaeology(文物保护与考古科学), 2023, 35(4): 11.
[18] LI Dan-jie(李丹婕). Archaeology and Cultural Relics(考古与文物), 2020, (5): 102.
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