Virtual restoration of stains on ancient paintings with maximum noise fraction transformation based on the hyperspectral imaging

Hou, Miaole; Zhou, Pingping; Lv, Shuqiang; Hu, Yungang; Zhao, Xuesheng; Wu, Wang-Ting; He, Haiping; Li, Songnian; Tan, Li

doi:10.1016/j.culher.2018.04.004

Cited by 24 publications

(21 citation statements)

References 15 publications

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“…Compared with traditional silk fabric protection technology [8,9], the color of the clothes produced by virtual simulation is more vivid and durable. Compared with the traditional digital restoration of rigid cultural relics [16][17][18][19][20][21][22][23][24][25], the research method combining reverse engineering and virtual simulation proposed in this paper provides a reference for the digital restoration of flexible cultural relics.…”

Section: Discussionmentioning

confidence: 99%

“…Han et al presented a non-destructive, more efficient and more scientific method that combines hyperspectral imaging and computer technology for the virtual digital restoration of a bronze chariot's patterns [23]. Hou et al proposed a virtual restoration method of stains on ancient paintings with maximum noise fraction transformation based on hyperspectral imaging [24]. Liu et al proposed a bilateral filtering point cloud denoising algorithm based on salient features to reconstruct a 3D model of cultural relic fragments [25].…”

Section: Introductionmentioning

confidence: 99%

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Research on Digital Restoration of Plain Unlined Silk Gauze Gown of Mawangdui Han Dynasty Tomb Based on AHP and Human–Computer Interaction Technology

2022

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In 1972, the Plain Unlined Silk Gauze Gown unearthed from the Mawangdui Han Dynasty tomb in Changsha, Hunan Province, China, received attention from various fields such as archeology, cultural relics conservation, textile and costume because of its light texture and exquisite craftsmanship. However, due to it being unearthed decades ago and imperfect preservation measures being used, it has been increasingly damaged by the influence of the external environment. Therefore, there is an urgent need to carry out archeology, restoration and protection of the Plain Unlined Silk Gauze Gown. In this paper, the Plain Unlined Silk Gauze Gown is taken as the research object, and the costume pattern is obtained through 3D interactive pattern-making technology. Then virtual simulation technology is used to digitally restore the Plain Unlined Silk Gauze Gown in combination with the fabric, color and pattern of the costume. Finally, the Analytic Hierarchy Process (AHP) and the fuzzy comprehensive evaluation method are introduced to evaluate the virtual simulation effect of the costume. The results show that the virtual simulation effect of the Plain Unlined Silk Gauze Gown is very good. From the results of the costume restoration, the AHP captures the uncertainty in the process of costume virtual simulation evaluation, quantifies the judgments with weights, reduces the subjectivity of the evaluation process, and provides a scientific and effective method for evaluating the virtual simulation effect of ancient costumes.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Digital Restoration of Plain Unlined Silk Gauze Gown of Mawangdui Han Dynasty Tomb Based on AHP and Human–Computer Interaction Technology

2022

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“…The artists are required to be well-trained and familiar with the drawing skills of ancient time, and the process involves careful structure sketching and color painting. The training and practice for skilled artists consume a substantial amount of time and human resources (Hou et al, 2018).…”

Section: Virtual Restorationmentioning

confidence: 99%

Artificial Intelligence for Dunhuang Cultural Heritage Protection: The Project and the Dataset

Lin

Zhang

et al. 2022

Int J Comput Vis

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In this work, we introduce our project on Dunhuang cultural heritage protection using artificial intelligence. The Dunhuang Mogao Grottoes in China, also known as the Grottoes of the Thousand Buddhas, is a religious and cultural heritage located on the Silk Road. The grottoes were built from the 4th century to the 14th century. After thousands of years, the in grottoes decaying is serious. In addition, numerous historical records were destroyed throughout the years, making it difficult for archaeologists to reconstruct history. We aim to use modern computer vision and machine learning technologies to solve such challenges. First, we propose to use deep networks to automatically perform the restoration. Through out experiments, we find the automated restoration can provide comparable quality as those manually restored from an archaeologist. This can significantly speed up the restoration given the enormous size of the historical paintings. Second, we propose to use detection and retrieval for further analyzing the tremendously large amount of objects because it is unreasonable to manually label and analyze them. Several state-of-the-art methods are rigorously tested and quantitatively compared in different criteria and categorically. In this work, we created a new dataset, namely, AI for Dunhuang, to facilitate the research. Version v1.0 of the dataset comprises of data and label for the restoration, style transfer, detection, and retrieval. Specifically, the dataset has 10,000 images for restoration, 3455 for style transfer, and 6147 for property retrieval. Lastly, we propose to use style transfer to link and analyze the styles over time, given that the grottoes were build over 1000 years by numerous artists. This enables the possibly to analyze and study the art styles over 1000 years and further enable future researches on cross-era style analysis. We benchmark representative methods and conduct a comparative study on the results for our solution. The dataset will be publicly available along with this paper.

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“…As recent examples of the use of HSI in heritage science studies, we have: the work by Pérez et al [7], where different manufacturing stages were identified in the painting The Pentecost by Baltasar de Echave Orio (1558-1619); the work by Padoan et al [8], in which HSI was used to monitor preservation and aging conditions of historical documents; the study by Sun et al [9], where different degrees of flaking deterioration were evaluated in mural paintings at the Mogao Grottoes by using NIR-his; and the work of Hou et al [10], where a combination of HSI information and multivariable analysis algorithms were employed to create a virtual restoration of ancient Chinese Qing dynasty paintings.…”

Section: Introductionmentioning

confidence: 99%

Technical Non-Invasive Study of an 18th Century Novo-Hispanic Panel Painting

et al. 2021

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Purísima Concepción, a large-format and unusual panel painting attributed to the 18th century, based on style and the common aspect of the visual tradition of the Virgin Mary found in the Viceroyalty of New Spain, is sheltered at the Museo Ex-convento San Agustín Acolman-INAH, México, an institution opened in late 1920, and one of the oldest museums in México. In this work, we present the material characterization of the surface layer of the painting by means of a non-invasive methodology, resulting from the combination of imaging and spectroscopic techniques. Analysis of hyperspectral images employing methods such as spectral angle mapper and principal component analysis allowed us to describe spatial distribution of the pigments and manufacturing methods, while XRF and FORS allowed us to record the complex and diverse color palette employed to achieve effects such as brightness, hue, saturation, and even the covering power of this painting.

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Virtual restoration of stains on ancient paintings with maximum noise fraction transformation based on the hyperspectral imaging

Cited by 24 publications

References 15 publications

Research on Digital Restoration of Plain Unlined Silk Gauze Gown of Mawangdui Han Dynasty Tomb Based on AHP and Human–Computer Interaction Technology

Research on Digital Restoration of Plain Unlined Silk Gauze Gown of Mawangdui Han Dynasty Tomb Based on AHP and Human–Computer Interaction Technology

Artificial Intelligence for Dunhuang Cultural Heritage Protection: The Project and the Dataset

Technical Non-Invasive Study of an 18th Century Novo-Hispanic Panel Painting

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