Virtual restoration of stains on ancient paintings with maximum noise fraction transformation based on the hyperspectral imaging.
Abstract Ancient paintings, as one of the most important forms of artistic expression of Chinese traditional culture, are the most valuable and non-renewable treasure of human civilization. However, unfortunate situations occur, causing stains on paintings. Stains disfigure their artistry and values...
| Publicado en: | Journal of Cultural Heritage Vol. 34; pp. 136 - 145 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Nov2018
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=132869854&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 132869854 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12962074 KK8 jtl: Journal of Cultural Heritage issn: 12962074 maglogo: N pubinfo: dt: Nov2018 vid: 34 pid: 467 pub: Elsevier B.V. artinfo: ui: 132869854 10.1016/j.culher.2018.04.004 ppf: 136 ppct: 9 formats: tig: atl: Virtual restoration of stains on ancient paintings with maximum noise fraction transformation based on the hyperspectral imaging. aug: au: Hou, Miaole Zhou, Pingping Lv, Shuqiang Hu, Yungang Zhao, Xuesheng Wu, Wangting He, Haiping Li, Songnian Tan, Li affil: Beijing University of Civil Engineering and Architecture, no. 1, Zhanlanguan Road D, Xicheng District, 100044 Beijing, PR China China University of Mining and Technology, no. 11, Xueyuan Road D, Haidian District, Beijing, PR China Capital Museum, no. 1, Baiyun Road D, Xicheng District, 100045 Beijing, PR China Ryerson university, Toronto, Canada su: Qing dynasty, China, 1644-1912 Hyperspectral imaging systems Principal components analysis Civilization Imaging systems sug: subj: Qing dynasty, China, 1644-1912 Hyperspectral imaging systems Principal components analysis Civilization Imaging systems keyword: Ancient paintings Hyperspectral imaging Maximum noise fraction transformation Stains Virtual restoration ab: Abstract Ancient paintings, as one of the most important forms of artistic expression of Chinese traditional culture, are the most valuable and non-renewable treasure of human civilization. However, unfortunate situations occur, causing stains on paintings. Stains disfigure their artistry and values, and it is desirable to remove them. Traditional removal methods using physical means or chemicals may damage the original paintings. Recent virtual restoration effort may cause inconsistent content when applied to larger regions. This paper proposes a new virtual restoration method of stains based on the maximum noise fraction (MNF) transformation with the hyperspectral imaging. The method has two steps. Firstly, it carries out the forward MNF transformation to concentrate the main features of ancient paintings into the several top principal components. Secondly, it determines the principal component that contains the large spectral information of stains, and applies the inverse MNF transformation to several top components except for the chosen components to reduce the stain effect on the image and restore the original spectral information and color as much as possible. This paper selects a paper painting of the Qing Dynasty as the experiment data, and the results show that the method has the effect of diluting or eliminating image spots, and can restore the style of ancient paintings to a large extent without causing a large loss of data information. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
|---|