A high-fidelity digital restoration method for fading color murals

A restoration method and high-fidelity technology, applied in the field of historical and cultural heritage protection, can solve problems such as lack of scientificity and accuracy

Active Publication Date: 2022-05-13
WUHAN TEXTILE UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

It effectively solves the limitations of the scientific and insufficient accuracy of the current restoration technology for the color restoration of faded color murals

Method used

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  • A high-fidelity digital restoration method for fading color murals
  • A high-fidelity digital restoration method for fading color murals
  • A high-fidelity digital restoration method for fading color murals

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Embodiment Construction

[0066] When the technical solution of the present invention is specifically implemented, it can be run by those skilled in the art using computer software technology. In conjunction with the accompanying drawings, the specific description of the embodiments of the present invention is provided as follows.

[0067] Such as figure 1 As shown, the embodiment provides a high-fidelity digital restoration method of fading color murals, which can effectively solve the limitations of the current method, improve the comprehensiveness of the ancient mural color restoration method, and be used in the field of ancient mural protection. Embodiment Taking the mural of the Fahuajing Bian figure on the right side of the east wall of Cave 329 in Dunhuang Mogao Grottoes as the experimental object, create a database of Dunhuang mural pigment samples, obtain the spectrum image of the mural of the figure of the Fahua Sutra on the right side of the east wall of Cave 329, and carry out the method o...

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Abstract

The invention discloses a high-fidelity digital restoration method for fading color murals, which includes a comprehensive mural paint database composed of basic pigment samples used in murals, fading simulation experiment samples and mixed pigment samples constructed by double-constant Kubelka-Munk theory. As a reference for the identification of mural paints; obtain the visible spectrum images of ancient murals; render the visible spectrum images to obtain the corresponding color RGB images; use the deep learning segmentation model unet to finely segment the color RGB images; calculate the representativeness of each sub-region Average spectral reflectance, and extract the spectral features of each sub-region; through feature matching, carry out pigment identification and analysis on each sub-region; based on the pigment recognition results and the representative average spectral reflectance of each sub-region, carry out color high-fidelity for each sub-region Restoration; by setting the adjustment parameter alpha, the simulated reproduction of fading and discoloration of color murals is realized; finally, high-fidelity digital restoration of faded and discolored mural colors is completed.

Description

technical field [0001] The invention belongs to the technical field of historical and cultural heritage protection, and in particular relates to a high-fidelity digital restoration method for faded and discolored mural colors. Background technique [0002] Our country has a large number of artworks and cultural relics, such as painted murals, ancient paintings, unearthed costumes, painted scriptures, etc. They are an important part of ancient Chinese civilization. These ancient cultural relics contain ancient Chinese politics, economy, culture, science and technology and production. Important historical information such as technological development carries splendid civilization and inherits historical culture. It is a precious resource for studying ancient humanities, sociology, aesthetics and natural sciences in my country. Color information is an important carrier for the expression and transmission of historical and cultural attributes of cultural relics. However, due to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/11G06T7/90G06F16/583G06N3/08G06N3/04
CPCG06T5/009G06T7/11G06T7/90G06F16/5838G06N3/08G06N3/045
Inventor 梁金星刘安平辛磊
Owner WUHAN TEXTILE UNIV
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