Enhancement of MultiSpectral Images of Ancient Manuscripts

Fabian Hollaus, Robert Sablatnig
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Abstract

This work is concerned with MultiSpectral Imaging (MSI) and image processing of ancient manuscripts. The writings imaged are partially in a bad condition, since they are partially faded-out or have been erased and overwritten. Therefore, a transcription by philologists belonging to our project team is aggravated. In order to increase the legibility, the manuscripts investigated have been imaged with a portable MSI system. While the imaging in selected narrow spectral ranges gained a legibility increase, post-processing techniques can be applied to the MSI data in order to gain a further contrast enhancement. For this purpose, three different dimension reduction techniques are applied to the manuscripts. A qualitative analysis shows that these techniques are capable of increasing the legibility of the ancient writings, compared to unprocessed multispectral images.
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古代手稿多光谱图像的增强
本工作涉及多光谱成像(MSI)和古代手稿的图像处理。成像的文字部分状况不佳,因为它们部分褪色或已被擦除和覆盖。因此,属于我们项目组的语言学家的抄写是加剧的。为了增加易读性,研究的手稿已经用便携式MSI系统成像。虽然在选定的窄光谱范围内的成像获得了易读性的增加,但后处理技术可以应用于MSI数据,以获得进一步的对比度增强。为此,对手稿采用了三种不同的降维技术。定性分析表明,与未经处理的多光谱图像相比,这些技术能够提高古代文字的易读性。
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