Restoring Warped Document Images through 3D Shape Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Warped Image restoration with Applications to Digital Libraries
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Restoring 2D Content from Distorted Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Document image de-warping based on detection of distorted text lines
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Reconstruction of 3d surface and restoration of flat document image from monocular image sequence
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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While scanning pages from a thick, bound book, there are two sources of distortion in the document images: 1) shade along the book 'spine', and 2) warping of the book surface in the shade area. In this paper, we propose a fast method to estimate the 3D shape of a book surface. Based on this shape, we remove the shade and correct the warping to restore the document images. The experiments show that the photometric and geometric distortions are mostly removed. The OCR tests on the original and restored document images are also presented.