历史文献图像背景噪声及其去除方法

G. Ganchimeg
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引用次数: 8

摘要

档案图书馆向公众提供历史和古代文献图像收藏是很常见的。这类文档图像通常需要专门处理,以消除背景噪声并变得更清晰。文件图像在传输、扫描或转换为数字形式时可能受到噪声的污染。我们可以通过识别噪声的特征来对其进行分类,并可以在文档图像中搜索相似的模式来选择合适的方法来去除噪声。在本文中,我们提出了一种混合二值化方法,使用全局和局部阈值的组合来提高旧文档的质量。本文还介绍了扫描文档图像中可能出现的噪声,并讨论了一些去噪方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
History Document Image Background Noise and Removal Methods
It is common for archive libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing in order to remove background noise and become more legible. Document images may be contaminated with noise during transmission, scanning or conversion to digital form. We can categorize noises by identifying their features and can search for similar patterns in a document image to choose appropriate methods for their removal. In this paper, we propose a hybrid binarization approach for improving the quality of old documents using a combination of global and local thresholding. This article also reviews noises that might appear in scanned document images and discusses some noise removal methods.
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