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Quality Assurance for Document Image Collections in Digital Preservation

机译:数字保存文档图像集合的质量保证

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Maintenance of digital image libraries requires to frequently asses the quality of the images to engage preservation measures if necessary. We present an approach to image based quality assurance for digital image collections based on local descriptor matching. We use spatially distinctive local keypoints of contrast enhanced images and robust symmetric descriptor matching to calculate affine transformations for image registration. Structural similarity of aligned images is used for quality assessment. The results show, that our approach can efficiently asses the quality of digitized documents including images of blank paper.
机译:数字图像库的维护需要经常判断图像的质量,以便在必要时接触保存度量。我们提出了一种基于本地描述符匹配的数字图像集合的图像质量保证方法。我们使用对比度增强的图像和强大的对称描述符匹配来计算图像配准的仿射变换。对齐图像的结构相似性用于质量评估。结果表明,我们的方法可以有效地判断数字化文件的质量,包括空白纸张的图像。

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