Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPAMI.2006.40
Title: Restoring warped document images through 3D shape modeling
Authors: Tan, C.L. 
Zhang, L. 
Zhang, Z. 
Xia, T. 
Keywords: Document image analysis
Document image restoration
Image distortion
Image warping
OCR improvement
Shape from shading
Issue Date: 2006
Source: Tan, C.L.,Zhang, L.,Zhang, Z.,Xia, T. (2006). Restoring warped document images through 3D shape modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2) : 195-208. ScholarBank@NUS Repository. https://doi.org/10.1109/TPAMI.2006.40
Abstract: Scanning a document page from a thick bound volume often results in two kinds of distortions in the scanned image, i.e., shade along the "spine" of the book and warping in the shade area. In this paper, we propose an efficient restoration method based on the discovery of the 3D shape of a book surface from the shading information in a scanned document image. From a technical point of view, this shape from shading (SFS) problem in real-World environments is characterized by 1) a proximal and moving light source, 2) Lambertian reflection, 3) nonuniform albedo distribution, and 4) document skew. Taking all these factors into account, we first build practical models (consisting of a 3D geometric model and a 3D optical model) for the practical scanning conditions to reconstruct the 3D shape of the book surface. We next restore the scanned document image using this shape based on deshading and dewarping models. Finally, we evaluate the restoration results by comparing our estimated surface shape with the real shape as well as the OCR performance on original and restored document images. The results show that the geometric and photometric distortions are mostly removed and the OCR results are improved markedly. © 2006 IEEE.
Source Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/43132
ISSN: 01628828
DOI: 10.1109/TPAMI.2006.40
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