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https://doi.org/10.1016/j.patcog.2009.03.025
Title: | A unified framework for document restoration using inpainting and shape-from-shading | Authors: | Zhang, L. Yip, A.M. Brown, M.S. Tan, C.L. |
Keywords: | Digital inpainting Document image restoration Geometric warping Perspective distortion Physically based flattening RBF-based smoothing Shading distortion Shape-from-shading |
Issue Date: | 2009 | Citation: | Zhang, L., Yip, A.M., Brown, M.S., Tan, C.L. (2009). A unified framework for document restoration using inpainting and shape-from-shading. Pattern Recognition 42 (11) : 2961-2978. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patcog.2009.03.025 | Abstract: | 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. © 2009 Elsevier Ltd. All rights reserved. | Source Title: | Pattern Recognition | URI: | http://scholarbank.nus.edu.sg/handle/10635/43047 | ISSN: | 00313203 | DOI: | 10.1016/j.patcog.2009.03.025 |
Appears in Collections: | Staff Publications |
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