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» Contextual Restoration of Severely Degraded Document Images
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CVPR
2009
IEEE
15 years 2 months ago
Contextual Restoration of Severely Degraded Document Images
We propose an approach to restore severely degraded document images using a probabilistic context model. Un- like traditional approaches that use previously learned prior models...
Jyotirmoy Banerjee, Anoop M. Namboodiri, C. V. Jaw...
ICDAR
2003
IEEE
14 years 23 days ago
Training on Severely Degraded Text-Line Images
We show that document image decoding (DID) supervised training algorithms, as a result of recent refinements, achieve high accuracy with low manual effort even under conditions o...
Prateek Sarkar, Henry S. Baird, Xiaohu Zhang
ICIP
2001
IEEE
14 years 9 months ago
Morphological degradation models and their use in document image restoration
Document images undergo various degradation processes. Numerous models of these degradation processes have been proposed in the literature. In this paper we propose a modelbased r...
Qigong Zheng, Tapas Kanungo
ICIP
2004
IEEE
14 years 9 months ago
Joint blind separation and restoration of mixed degraded images for document analysis
We consider the problem of extracting clean images from noisy mixtures of images degraded by blur operators. This special case of source separation arises, for instance, when anal...
Anna Tonazzini, Ivan Gerace, Francesco Cricco
ICDAR
2009
IEEE
13 years 5 months ago
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifi
Segmentation of ancient documents is challenging. In the worst cases, text characters become fragmented as the results of strong degradation processes. New active contour methods ...
Reza Farrahi Moghaddam, David Rivest-Hénaul...