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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A unified framework for document restoration using inpainting and shape-from-shading
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A unified framework for document restoration using inpainting and shape-from-shading

机译:使用修补和阴影形状恢复文档的统一框架

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摘要

We present a restoration framework to reduce undesirable distortions in imaged documents. Our framework is based on two components: (1) an image inpainting procedure that can separate non-uniform illumination (and other) artifacts from the printed content and (2) a shape-from-shading (SfS) formulation that can reconstruct the 3D shape of the document's Surface. Used either piecewise or in its entirety, this framework can correct a variety of distortions including shading, shadow, ink-bleed, show-through, perspective and geometric distortions, for both camera-imaged and flatbed-imaged documents. Our overall framework is described in detail. In addition, our SfS formulation can be easily modified to target various illumination conditions to suit different real-world applications. Results on images of synthetic and real documents demonstrate the effectiveness of our approach. OCR results are also used to gauge the performance of our approach.
机译:我们提出了一种还原框架,以减少成像文档中的不良变形。我们的框架基于两个组成部分:(1)图像修补程序,可以将非均匀照明(和其他)伪像与打印内容分开;(2)阴影形状(SfS)公式可以重建3D文档表面的形状。无论是分段使用还是整体使用,此框架都可以校正相机成像和平板成像文档的各种变形,包括阴影,阴影,渗墨,透视,透视和几何变形。详细描述了我们的总体框架。此外,我们的SfS配方可轻松修改以针对各种照明条件,以适应不同的实际应用。合成文件和真实文件的图像结果证明了我们方法的有效性。 OCR结果还用于评估我们方法的性能。

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