Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.patcog.2009.03.025
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dc.titleA unified framework for document restoration using inpainting and shape-from-shading
dc.contributor.authorZhang, L.
dc.contributor.authorYip, A.M.
dc.contributor.authorBrown, M.S.
dc.contributor.authorTan, C.L.
dc.date.accessioned2013-07-23T09:23:32Z
dc.date.available2013-07-23T09:23:32Z
dc.date.issued2009
dc.identifier.citationZhang, 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
dc.identifier.issn00313203
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43047
dc.description.abstractWe 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.patcog.2009.03.025
dc.sourceScopus
dc.subjectDigital inpainting
dc.subjectDocument image restoration
dc.subjectGeometric warping
dc.subjectPerspective distortion
dc.subjectPhysically based flattening
dc.subjectRBF-based smoothing
dc.subjectShading distortion
dc.subjectShape-from-shading
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1016/j.patcog.2009.03.025
dc.description.sourcetitlePattern Recognition
dc.description.volume42
dc.description.issue11
dc.description.page2961-2978
dc.description.codenPTNRA
dc.identifier.isiut000268453800052
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