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Terahertz Pulsed Imaging Reveals the Stratigraphy of a Seventeenth-Century Oil Painting

机译:太赫兹脉冲成像揭示了十七世纪油画的地层

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Terahertz pulsed imaging has attracted considerable interest for revealing the stratigraphy and hidden features of art paintings. The reconstruction of the stratigraphy is based on the precise extraction of THz echo parameters from the reflected signals. Several historical panel paintings and wall paintings have been well studied by THz reflective imaging, in which the detailed stratigraphy has been successfully revealed. To our knowledge, however, the stratigraphy of oil paintings has not been clearly uncovered by THz imaging, since the paint layers in an oil painting on canvas, especially for the 16lh and 17th century art works, are usually very thin (-10 μm) in the THz regime. Therefore, in order to improve the performance of THz imaging, advanced signal-processing techniques with higher depth-resolution are still needed. In this study, THz reflective imaging is employed to reveal for the first time the detailed stratigraphy of a 17th century Italian oil painting on canvas. The paint layers on the supporting canvas are very thin in the THz regime, as the THz echoes corresponding to the stratigraphy totally overlap in the first cycle of the reflected THz signal. THz sparse deconvolution based on an iterative shrinkage algorithm is utilized to resolve the overlapping echoes. Based on the deconvolved signals, the detailed stratigraphy of this oil painting on canvas, including the varnish, pictorial, underdrawing, and ground layers, is successfully revealed. The THz C- and B-scans based on the THz deconvolved signals also enable us to reveal the features of each layer. Our results thus enhance the capability of terahertz imaging to perform detailed analysis and diagnostics of historical oil paintings on canvas with foreseen applications for the study of the artist's technique and for authentication.
机译:太赫兹脉冲成像吸引了揭示艺术绘画的地层和隐藏特征的相当兴趣。地层的重建是基于来自反射信号的THz回波参数的精确提取。通过THz反光成像进行了很多历史面板绘画和墙面绘画,其中已成功揭示了详细的地层。然而,为了我们的知识,石油绘画的地层尚未通过THz成像清楚地发现,因为帆布上的油画中的油漆层,特别是对于16LH和17世纪的艺术作品,通常非常薄(-10μm)在THZ政权中。因此,为了提高THz成像的性能,仍然需要具有更高深度分辨率的高级信号处理技术。在这项研究中,ZHZ反光成像用于首次揭示17世纪意大利油画的详细地层绘画。支撑帆布上的涂料层在THz方案中非常薄,因为与地层对应的ZZ回波在反射的THz信号的第一周期中完全重叠。基于迭代收缩算法的THZ稀疏去卷积用于解析重叠回波。基于解构信号,成功揭示了帆布上该油画的详细地层,包括清漆,图形,欠绘和地面层。基于THz Deconvolved信号的THz C和B扫描还使我们能够揭示每层的特征。因此,我们的结果提高了太赫兹成像的能力,对艺术家技术研究和认证进行了预见的应用程序对帆布的详细分析和诊断。

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