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» Morphological degradation models and their use in document i...
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ICCV
2007
IEEE
14 years 8 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
AND
2009
13 years 4 months ago
Edge noise in document images
A degradation model that describes many image degradations produced by desktop scanning is used to study the edge noise that is present in bilevel document images. The standard de...
Craig McGillivary, Chris Hale, Elisa H. Barney Smi...
DAS
2008
Springer
13 years 8 months ago
Accurate Alignment of Double-Sided Manuscripts for Bleed-Through Removal
Double-sided manuscripts are often degraded by bleedthrough interference. Such degradation must be corrected to facilitate human perception and machine recognition. Most approache...
Jie Wang, Michael S. Brown, Chew Lim Tan
ICASSP
2011
IEEE
12 years 10 months ago
Fast single image fog removal using edge-preserving smoothing
Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defoggin...
Jing Yu, Qingmin Liao
ICPR
2002
IEEE
14 years 7 months ago
Adaptive Stack Algorithm in Document Image Decoding
The Stack algorithm, which is a best-first search algorithm widely used in speech recognition, is modified for application to the problem of recognizing machine printed text in th...
Kris Popat, Daniel H. Greene, Tze-Lei Poo