Extracting graphite sketch of the mural using Hyper-Spectral Imaging method

Abstract

Original scientific paper Many contaminants appear in murals as time passes, which make the original mural blurred and difficult to recognize; therefore, extracting a clear graphite sketch of the mural is significant. In this study, we used invisible spectra, particularly near-infrared (NIR) bands, to detect the graphite information and strengthen the features of the mural information to obtain a graphite sketch. This is the first study to extract the contour line from the draft of the mural using hyper-spectral imaging (HSI) technology. First, spectral matching methods were used to identify the pigment of the contour line and graphite was determined as the main pigment of the draft. Then, the characteristic bands were selected by analysing the spectra of the pigments. After that, the information extraction method was used to extract the graphite information. The results showed that the method could improve the efficiency of graphite information extraction significantly. The key steps of the current method involved extracting the graphite contour line end-member spectrum, followed by mapping the grey image of the graphite contour line spectrum. Finally, the visually enhanced image was reconstructed using the alpha blending fusion method with the original visible image and the graphite information image. The efficiency of results is evaluated by quantitative methods. The study also explained and discussed the two key points of election thresholds in obtaining the graphite sketch. These results demonstrate that the method is efficient for extracting graphite sketch based on hyper-spectral data of mural, and that it could provide useful information to explore cultural relics and to support some other protection researches. Keywords: graphite contour line; Hyper-Spectral Imaging; information extraction; murals; visual enhancement Dobivanje grafitne skice murala primjenom metode Hyper-Spectral ImagingIzvorni znanstveni rad Kako vrijeme prolazi murali postaju sve zagađeniji te originalni mural postaje nejasan i teško prepoznatljiv; stoga je važno dobivanje jasne grafitne skice murala. U ovom smo radu primijenili nevidljive spektre, posebice skoro-infracrvene pojaseve (near-infrared (NIR) bands), kako bismo otkrili podatke o grafitu i učvrstili karakteristične informacije o muralu za dobivanje grafitne skice. Ovo je prvo istraživanje u svrhu dobivanja osnovne linije konture iz skice murala primjenom tehnologije hiper-spektralnog slikovnog prikaza (hyper-spectral imaging (HSI). Najprije se metodama spektralne kompatibilnosti identificirao pigment osnovne konture te se grafit odredio kao osnovni pigment skice. Tada su se odabrali karakteristični pojasevi analizom spektra pigmenata. Nakon toga, metodom izvlačenja informacija dobivena su saznanja o grafitu. Rezultati su pokazali da se tom metodom mogla značajno povećati učinkovitost dobivanja novih spoznaja o grafitu. Ključni postupci ove metode obuhvatili su dobivanje spektra završnog elementa osnovne konture grafita, te mapiranje sive slike spektra osnovne konture grafit...

A relic sketch extraction framework based on detail-aware hierarchical deep network

“…Obtaining a drawn sketch is an important step in the protection and restoration of painted cultural relics. The sketch reflects the original ideas of the painters and the main structure and content of the painted images [1,2,3,4]. Traditionally, the sketch is depicted manually by professional copyists, which is not only time-consuming but also affected by the different painting skills of different copyists [5,6,7].…”