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» A method for restoration of low-resolution document images
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ICDAR
2009
IEEE
13 years 5 months ago
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
We compare in this study two image restoration approaches for the pre-processing of printed documents: namely the Non-local Means filter and a total variation minimization approac...
Laurence Likforman-Sulem, Jérôme Darb...
ICDAR
2011
IEEE
12 years 7 months ago
Super-Resolved Binarization of Text Based on the FAIR Algorithm
—In this paper, we present a novel approach for super-resolved binarization of document images acquired by low quality devices. The algorithm tries to compute the super resolutio...
Thibault Lelore, Frédéric Bouchara
ICDAR
2005
IEEE
14 years 29 days ago
Motion Deblurring for Optical Character Recognition
This paper investigates the problem of blurring caused by motion during image capture of text documents. Motion blurring prevents proper optical character recognition of the docum...
Xing Yu Qi, Li Zhang, Chew Lim Tan
CVPR
2005
IEEE
1158views Computer Vision» more  CVPR 2005»
14 years 9 months ago
Flattening Curved Documents in Images
Compared to scanned images, document pictures captured by camera can suffer from distortions due to perspective and page warping. It is necessary to restore a frontal planar view ...
Jian Liang, Daniel DeMenthon, David S. Doermann
PAMI
2010
207views more  PAMI 2010»
13 years 2 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf