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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
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.
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
ISSN: 00313203
DOI: 10.1016/j.patcog.2009.03.025
Appears in Collections:Staff Publications

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