OcrV1, Main, Exploration, bibRecord, 000A88

Composition of a Dewarped and Enhanced Document Image From Two View Images

Identifieur interne : 000A88 ( Main/Exploration ); précédent : 000A87; suivant : 000A89

Composition of a Dewarped and Enhanced Document Image From Two View Images

Auteurs : HYUNG IL KOO [Corée du Sud] ; Jinho Kim [Corée du Sud] ; NAM IK CHO [Corée du Sud]

Source :

IEEE transactions on image processing [ 1057-7149 ] ; 2009.

RBID : Pascal:09-0350330

Descripteurs français

Pascal (Inist)
- Traitement image document, Algorithme, Ajustement courbe, Forme cylindrique, Reconnaissance optique caractère, Numérisation, Qualité image, Image floue, Réflexion spéculaire, Méthode graphe, Coupe graphe, Estimation robuste, Traitement image, Reconnaissance forme.
Wicri :
- topic : Numérisation.

English descriptors

KwdEn :
- Algorithm, Blurred image, Curve fitting, Cylindrical shape, Digitizing, Document image processing, Graph cut, Graph method, Image processing, Image quality, Optical character recognition, Pattern recognition, Robust estimation, Specular reflection.

Abstract

In this paper, we propose an algorithm to compose a geometrically dewarped and visually enhanced image from two document images taken by a digital camera at different angles. Unlike the conventional works that require special equipments or assumptions on the contents of books or complicated image acquisition steps, we estimate the unfolded book or document surface from the corresponding points between two images. For this purpose, the surface and camera matrices are estimated using structure reconstruction, 3-D projection analysis, and random sample consensus-based curve fitting with the cylindrical surface model. Because we do not need any assumption on the contents of books, the proposed method can be applied not only to optical character recognition (OCR), but also to the high-quality digitization of pictures in documents. In addition to the dewarping for a structurally better image, image mosaic is also performed for further improving the visual quality. By finding better parts of images (with less out of focus blur and/or without specular reflections) from either of views, we compose a better image by stitching and blending them. These processes are formulated as energy minimization problems that can be solved using a graph cut method. Experiments on many kinds of book or document images show that the proposed algorithm robustly works and yields visually pleasing results. Also, the OCR rate of the resulting image is comparable to that of document images from a flatbed scanner.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000221
to stream PascalFrancis, to step Curation: 000558
to stream PascalFrancis, to step Checkpoint: 000204
to stream Main, to step Merge: 000A98
to stream Main, to step Curation: 000A88

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, we propose an algorithm to compose a geometrically dewarped and visually enhanced image from two document images taken by a digital camera at different angles. Unlike the conventional works that require special equipments or assumptions on the contents of books or complicated image acquisition steps, we estimate the unfolded book or document surface from the corresponding points between two images. For this purpose, the surface and camera matrices are estimated using structure reconstruction, 3-D projection analysis, and random sample consensus-based curve fitting with the cylindrical surface model. Because we do not need any assumption on the contents of books, the proposed method can be applied not only to optical character recognition (OCR), but also to the high-quality digitization of pictures in documents. In addition to the dewarping for a structurally better image, image mosaic is also performed for further improving the visual quality. By finding better parts of images (with less out of focus blur and/or without specular reflections) from either of views, we compose a better image by stitching and blending them. These processes are formulated as energy minimization problems that can be solved using a graph cut method. Experiments on many kinds of book or document images show that the proposed algorithm robustly works and yields visually pleasing results. Also, the OCR rate of the resulting image is comparable to that of document images from a flatbed scanner.</div>
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Composition of a Dewarped and Enhanced Document Image From Two View Images

Composition of a Dewarped and Enhanced Document Image From Two View Images

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri