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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Historical document image restoration using multispectral imaging system
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Historical document image restoration using multispectral imaging system

机译:使用多光谱成像系统恢复历史文件图像

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摘要

Thousands of valuable historical documents stored on the shelves of national libraries throughout the world are waiting to be scanned in order to facilitate access to the information they contain. The first major problem faced is degradation, which renders the visual quality of the document very poor, and in most cases, difficult to decipher. This work is part of our collaboration with the BAnQ (Bibliothèque et Archive Nationales de Québec), which aims to propose a new approach to provide the end user (historian, scholars, researchers, etc.) with an acceptable visualization of these images. To that end, we have adopted a multispectral imaging system capable of producing images in invisible lighting, such as infrared lights. In fact, in addition to visible (color) images, the additional information provided by the infrared spectrum as well as the physical properties of the ink (used on these historical documents) will be further incorporated into a mathematical model, transforming the degraded image into its new clean version suitable for visualization. Depending on the degree of degradation, the problem of cleaning them could be resolved by image enhancement and restoration, whereby the degradation could be isolated in the Infrared spectrum, and then eliminated in the visible spectrum. The final color image is then reconstructed from the enhanced visible spectra (red, green and blue). The first experimental results are promising and our aim in collaboration with the BAnQ, is to give this documentary heritage to the public and build an intelligent engine for accessing the documents.
机译:为了便于访问其中包含的信息,世界各国的图书馆书架上存储着成千上万的珍贵历史文献,正在等待扫描。面临的第一个主要问题是质量下降,这使文档的视觉质量非常差,并且在大多数情况下很难破译。这项工作是我们与BAnQ(魁北克省国家图书馆和国家图书馆)合作的一部分,该组织的目的是提出一种新方法,为最终用户(历史学家,学者,研究人员等)提供这些图像的可接受的可视化效果。为此,我们采用了一种多光谱成像系统,该系统能够在不可见光(例如红外光)下生成图像。实际上,除可见(彩色)图像外,红外光谱提供的其他信息以及墨水的物理特性(用于这些历史文档)将进一步纳入数学模型,从而将退化的图像转换为其新的干净版本适合可视化。取决于降解程度,可以通过图像增强和还原来解决清洁它们的问题,从而可以在红外光谱中隔离降解,然后在可见光谱中消除降解。然后从增强的可见光谱(红色,绿色和蓝色)中重建最终的彩色图像。最初的实验结果令人鼓舞,我们与BAnQ的合作目标是将这种文献遗产传给公众,并构建一个智能的文档访问引擎。

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