Please use this identifier to cite or link to this item:
|Title:||A unified framework for document restoration using inpainting and shape-from-shading||Authors:||Zhang, L.
Document image restoration
Physically based flattening
|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|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 17, 2019
WEB OF SCIENCETM
checked on May 8, 2019
checked on May 14, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.